Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions

Bitcoin: A Peer-to-Peer Electronic Cash SystemPreprint

Nakamoto, S. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3440802 · Cited by 14,600 · see citing works

Systematic Literature Reviews in Software Engineering—A Systematic Literature Review

Kitchenham, B., Pearl Brereton, O., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2008.09.009 · Cited by 4,537 · see citing works

Blockchain technology in the energy sector: a systematic review of challenges and opportunities

Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.10.014 · Cited by 2,426 · see citing works

Probabilistic electric load forecasting: A tutorial review

Hong, T., & Shu, F. (2016) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2015.11.011 · Cited by 1,460 · see citing works

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Wang, Y., Chen, Q., Hong, T., & Kang, C. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2818167 · Cited by 1,384 · see citing works

A review on simulation-based optimization methods applied to building performance analysis

Nguyen, A.-T., Reiter, S., & Rigo, P. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.08.061 · Cited by 1,379 · see citing works

Security and Privacy in Decentralized Energy Trading Through Multi-Signatures, Blockchain and Anonymous Messaging Streams

Aitzhan, N. Z., & Svetinovic, D. (2018) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2616861 · Cited by 1,297 · see citing works

A Survey on Smart Grid Potential Applications and Communication Requirements

Güngör, V. Ç., Sahin, D., Koçak, T., Ergüt, S., Buccella, C., Cecati, C., & Hancke, G. P. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2218253 · Cited by 1,116 · see citing works

A review on time series forecasting techniques for building energy consumption

Deb, C., Zhang, F., Yang, J., Lee, S. E., & Shah, K. W. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.02.085 · Cited by 1,032 · see citing works

Blockchain for AI: review and open research challenges

Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001 · see citing works

Big data driven smart energy management: from big data to big insights

Zhou, K., Fu, C., & Yang, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.050 · Cited by 841 · see citing works

Nonintrusive appliance load monitoring: Review and outlook

Zeifman, M., & Roth, K. W. (2011) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2011.5735484 · Cited by 816 · see citing works

Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

Jokar, P., Arianpoo, N., & Leung, V. C. M. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2425222 · Cited by 764 · see citing works

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids

Pop, C. D., Cioara, T., Antal, C., Anghel, I. M., Salomie, I., & Bertoncini, M. (2018) · Sensors · doi:10.3390/s18010162 · Cited by 622 · see citing works

Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges

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Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid

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BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence

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A clustering approach to domestic electricity load profile characterisation using smart metering data

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Overview and performance assessment of the clustering methods for electrical load pattern grouping

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Load forecasting, dynamic pricing and DSM in smart grid: A review

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Smart household operation considering bi-directional EV and ESS utilization by real-time pricing-based DR

Erdinc, O., Paterakis, N. G., Mendes, T. D. P., Bakirtzis, A. G., & P. S. Catalao, J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2352650 · Cited by 462 · see citing works

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(2016) · doi:10.1109/bigdata38862.2016 · Cited by 456 · see citing works

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting

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A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids

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Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward

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DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

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Blockchain for Internet of Energy management: Review, solutions, and challenges

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(2016) · doi:10.1109/pesgm33359.2016 · Cited by 345 · see citing works

Blockchain Applications in Smart Grid–Review and Frameworks

Musleh, A. S., Yao, G., & Muyeen, S. M. (2019) · IEEE Access · doi:10.1109/access.2019.2920682 · Cited by 343 · see citing works

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

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Zheng, J., Gao, W., & Li, L. (2013) · IEEE Green Technologies Conference (GreenTech) · doi:10.1109/greentech.2013.17 · Cited by 333 · see citing works

Smart Meter Privacy: A Theoretical Framework

Sankar, L., Rajagopalan, S. R., Mohajer, S., & Poor, H. V. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2211046 · Cited by 272 · see citing works

Load profiling and its application to demand response: A review

Wang, Y., Chen, Q., Kang, C., Zhang, M., Wang, K., & Zhao, Y. T. (2015) · Tsinghua Science & Technology · doi:10.1109/tst.2015.7085625 · Cited by 268 · see citing works

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Lü, N., & Zhang, Y. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2222944 · Cited by 266 · see citing works

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Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges

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An ensemble learning framework for anomaly detection in building energy consumption

Araya, D. B., Grolinger, K., ElYamany, H. F., Capretz, M. A. M., & Bitsuamlak, G. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.02.058 · Cited by 256 · see citing works

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Zhou, K.-L., Yang, S.-L., & Shen, C. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.03.023 · Cited by 254 · see citing works

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APPA: An anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT

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Machine Learning Models for Secure Data Analytics: A taxonomy and threat model

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Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load

Biao, W., Li, Y., Ming, W., & Wang, S. (2020) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2020.2967430 · Cited by 217 · see citing works

Classification of Energy Consumption in Buildings With Outlier Detection

Xiaoli Li, A., Bowers, C. P., & Schnier, T. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2027926 · Cited by 210 · see citing works

Short-term electricity load forecasting of buildings in microgrids

Chitsaz, H., Shaker, H., Zareipour, H., et al. (2015) · Energy and Buildings · doi:10.1016/j.enbuild.2015.04.011 · Cited by 194 · see citing works

Multimedia big data computing and Internet of Things applications: A taxonomy and process model

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Tactile-Internet-Based Telesurgery System for Healthcare 4.0: An Architecture, Research Challenges, and Future Directions

Gupta, R., Tanwar, S., Tyagi, S., & Kumar, N. (2019) · IEEE Network · doi:10.1109/mnet.001.1900063 · Cited by 193 · see citing works

An energy-aware service composition algorithm for multiple cloud-based IoT applications

Baker, T., Asim, M., Tawfik, H., Aldawsari, B., & Buyya, R. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2017.03.008 · Cited by 189 · see citing works

Exploring blockchain for the energy transition: Opportunities and challenges based on a case study in Japan

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Incorporating Practice Theory in Sub-Profile Models for Short Term Aggregated Residential Load Forecasting

Stephen, B., Tang, X., Harvey, P. R., et al. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2493205 · Cited by 181 · see citing works

k-means based load estimation of domestic smart meter measurements

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A Survey on Secure Data Analytics in Edge Computing

Liu, D., Yan, Z., Ding, W., & Atiquzzaman, M. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2897619 · Cited by 180 · see citing works

2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)

(2017) · doi:10.1109/ei240651.2017 · Cited by 180 · see citing works

Shape-Based Approach to Household Electric Load Curve Clustering and Prediction

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A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

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HaBiTs: Blockchain-based Telesurgery Framework for Healthcare 4.0

Gupta, R., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M. S., & Sadoun, B. (2019) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits.2019.8862127 · Cited by 175 · see citing works

Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods

Jiang, H., Zhang, J. J., Gao, W., & Wu, Z. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2330624 · Cited by 174 · see citing works

Blockchain-Based Remote Patient Monitoring in Healthcare 4.0

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Data Compression in Smart Distribution Systems via Singular Value Decomposition

de Souza, J. C. S., Assis, T. M. L., & Pal, B. C. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2456979 · Cited by 165 · see citing works

An advanced Internet of Thing based Security Alert System for Smart Home

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2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom)

(2016) · doi:10.1109/healthcom36776.2016 · Cited by 158 · see citing works

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Blockchain Technologies for Smart Energy Systems: Fundamentals, Challenges, and Solutions

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A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids

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BloHosT: Blockchain Enabled Smart Tourism and Hospitality Management

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Non-Technical Loss analysis for detection of electricity theft using support vector machines

Nagi, J., Mohammad, A., Yap, K. S., et al. (2008) · IEEE International Power and Energy Conference · doi:10.1109/pecon.2008.4762604 · Cited by 140 · see citing works

2015 IEEE International Congress on Big Data

(2015) · doi:10.1109/bigdatacongress35851.2015 · Cited by 139 · see citing works

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Tcheou, M. P., Lovisolo, L., Ribeiro, M. V., da Silva, E. A. B., Rodrigues, M. A. M., Romano, J. M. T., & Diniz, P. S. R. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2293957 · Cited by 137 · see citing works

Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers

Benítez, I., Quijano-López, A., Díez, J.-L., et al. (2013) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2013.09.022 · Cited by 137 · see citing works

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Sparse and Redundant Representation-Based Smart Meter Data Compression and Pattern Extraction

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Fog data analytics: A taxonomy and process model

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Aslam, S., Iqbal, Z., Javaid, N., Khan, Z., Aurangzeb, K., & Haider, S. I. (2017) · Energies · doi:10.3390/en10122065 · Cited by 121 · see citing works

High performance computing for detection of electricity theft

Depuru, S. S. S. R., Wang, L., Devabhaktuni, V., et al. (2012) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2012.10.031 · Cited by 115 · see citing works

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Eibl, G., & Engel, D. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2376613 · Cited by 114 · see citing works

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(2019) · doi:10.1109/icems46670.2019 · Cited by 113 · see citing works

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Júnior, L. A. P., Ramos, C. C. O., Rodrigues, D., et al. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.05.036 · Cited by 109 · see citing works

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Anomaly detection for visual analytics of power consumption data

Janetzko, H., Stoffel, F., Mittelstädt, S., et al. (2013) · Computers & Graphics · doi:10.1016/j.cag.2013.10.006 · Cited by 108 · see citing works

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GreeDi: An energy efficient routing algorithm for big data on cloud

Baker, T., Aldawsari, B., Tawfik, H., Reid, D. C., & Ngoko, Y. (2015) · Ad Hoc Networks · doi:10.1016/j.adhoc.2015.06.008 · Cited by 105 · see citing works

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A Systematic Survey on Cloud Forensics Challenges, Solutions, and Future Directions

Manral, B., Somani, G., Choo, K. R., Conti, M., & Gaur, M. S. (2019) · ACM Computing Surveys · doi:10.1145/3361216 · Cited by 100 · see citing works

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Jiang, Y. “., Liu, C., Diedesch, M., et al. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2503341 · Cited by 98 · see citing works

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(2011) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2011.940975 · Cited by 97 · see citing works

Ensuring Privacy and Security in E- Health Records

Vora, J., Italiya, P., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M. S., & Hsiao, K.-F. (2018) · International Conference on Computer, Information and Telecommunication Systems · doi:10.1109/cits.2018.8440164 · Cited by 96 · see citing works

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Xie, J., Hong, T., Laing, T. D., et al. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2447007 · Cited by 95 · see citing works

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Peppanen, J., Zhang, X., Grijalva, S., et al. (2016) · IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) · doi:10.1109/isgt.2016.7781213 · Cited by 95 · see citing works

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Luo, J., Hong, T., & Yue, M. (2018) · Journal of Modern Power Systems and Clean Energy · doi:10.1007/s40565-017-0351-7 · Cited by 93 · see citing works

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Koivisto, M., Heine, P., Mellin, I., et al. (2012) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2223240 · Cited by 87 · see citing works

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(2008) · IEEE Power and Energy Magazine · doi:10.1109/mpae.2008.4412949 · Cited by 87 · see citing works

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Depuru, S. S. S. R., Wang, L., Devabhaktuni, V., et al. (2011) · IEEE Power and Energy Society General Meeting (PESGM) · doi:10.1109/pes.2011.6039050 · Cited by 78 · see citing works

2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

(2015) · doi:10.1109/ccgrid34548.2015 · Cited by 77 · see citing works

Applying blockchain technology to decentralized operation in future energy internet

Yang, T., Guo, Q., Tai, X., Sun, H., Zhang, B., Zhao, W., & Lin, C. (2017) · IEEE Conference on Energy Internet and Energy System Integration (EI2) · doi:10.1109/ei2.2017.8244418 · Cited by 75 · see citing works

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Gan, D., Wang, Y., Yang, S., et al. (2018) · Journal of Modern Power Systems and Clean Energy · doi:10.1007/s40565-018-0380-x · Cited by 74 · see citing works

Design of an Anonymity-Preserving Group Formation Based Authentication Protocol in Global Mobility Networks

Banerjee, S., Odelu, V., Das, A. K., Chattopadhyay, S., Kumar, N., Park, Y., & Tanwar, S. (2018) · IEEE Access · doi:10.1109/access.2018.2827027 · Cited by 71 · see citing works

Home-based exercise system for patients using IoT enabled smart speaker

Vora, J., Tanwar, S., Tyagi, S., Kumar, N., & Rodrigues, J. J. P. C. (2017) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2017.8210826 · Cited by 70 · see citing works

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Irfan, M., Iqbal, J., Iqbal, A., Iqbal, Z., Riaz, R. A., & Mehmood, A. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.12.095 · Cited by 67 · see citing works

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Tanwar, S., Ramani, T., & Tyagi, S. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-73712-6_12 · Cited by 66 · see citing works

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Akouemo, H. N., & Povinelli, R. J. (2017) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2656939 · Cited by 64 · see citing works

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(2017) · doi:10.1109/syscon39115.2017 · Cited by 64 · see citing works

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(2019) · doi:10.1109/gtdasia41183.2019 · Cited by 63 · see citing works

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Hopf, K., Sodenkamp, M., Kozlovkiy, I., et al. (2014) · Computer Science - Research and Development · doi:10.1007/s00450-014-0294-4 · Cited by 61 · see citing works

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Roman, L. F. A., Gondim, P. R. D. L., & Lloret, J. (2018) · Ad Hoc Networks · doi:10.1016/j.adhoc.2018.08.015 · Cited by 61 · see citing works

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Tanwar, S., Kumar, N., & Niu, J. (2014) · International Journal of Communication Systems · doi:10.1002/dac.2780 · Cited by 60 · see citing works

Clustering disaggregated load profiles using a Dirichlet process mixture model

Granell, R., Axon, C. J., & Wallom, D. C. H. (2015) · Energy Conversion and Management · doi:10.1016/j.enconman.2014.12.080 · Cited by 60 · see citing works

A novel smart meter data compression method via stacked convolutional sparse auto-encoder

Wang, S., Chen, H., Wu, L., & Wang, J. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2019.105761 · Cited by 58 · see citing works

2008 IEEE 2nd International Power and Energy Conference

(2008) · doi:10.1109/pecon13398.2008 · Cited by 54 · see citing works

2018 IEEE 16th International Conference on Industrial Informatics (INDIN)

(2018) · doi:10.1109/indin42006.2018 · Cited by 54 · see citing works

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Savi, M., Rottondi, C., & Verticale, G. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2387848 · Cited by 51 · see citing works

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)

(2018) · doi:10.1109/pdgc44302.2018 · Cited by 51 · see citing works

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Loia, V., Tomasiello, S., & Vaccaro, A. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2578641 · Cited by 49 · see citing works

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Khan, J. F., BHUIYAN, S. M. A., Murphy, G., et al. (2015) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2015.2420613 · Cited by 48 · see citing works

Technical and operation considerations in using Smart Metering for outage management

Tram, H. (2008) · IEEE PES Transmission and Distribution Conference and Exhibition · doi:10.1109/tdc.2008.4517273 · Cited by 46 · see citing works

Energy Efficient Cloud Computing Environment via Autonomic Meta-director Framework

Baker, T., Ngoko, Y., Calasanz, R. T., RANA, O. F., & Randles, M. (2013) · International Conference on Developments in eSystems Engineering (DeSE) · doi:10.1109/dese.2013.43 · Cited by 44 · see citing works

2019 IEEE 9th International Conference on Advanced Computing (IACC)

(2019) · doi:10.1109/iacc48062.2019 · Cited by 44 · see citing works

Privacy-preserving metering in smart grid for billing, operational metering, and incentive-based schemes: A survey

Sultan, S. (2019) · Computers & Security · doi:10.1016/j.cose.2019.03.014 · Cited by 42 · see citing works

Trusted Energy-Efficient Cloud-Based Services Brokerage Platform

Aldawsari, B., Baker, T., & England, D. (2015) · International Journal of Intelligent Computing Research · doi:10.20533/ijicr.2042.4655.2015.0078 · Cited by 41 · see citing works

2016 International Conference on Computer, Information and Telecommunication Systems (CITS)

(2016) · doi:10.1109/cits38008.2016 · Cited by 41 · see citing works

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Liu, X., Iftikhar, N., Nielsen, P. S., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-43946-4_13 · Cited by 40 · see citing works

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Erturk, E., Lopez, D., & Yu, W. Y. (2020) · Contemporary Management Research · doi:10.7903/cmr.19650 · Cited by 40 · see citing works

Security-Oriented Cloud Platform for SOA-Based SCADA

Baker, T., Mackay, M., Shaheed, A., & Aldawsari, B. (2015) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid.2015.37 · Cited by 39 · see citing works

Smart Contract-Based Pool Hopping Attack Prevention for Blockchain Networks

Singh, S. K., Salim, M. M., Cho, M., et al. (2019) · Symmetry · doi:10.3390/sym11070941 · Cited by 38 · see citing works

Regulation of market clearing price based on nonlinear models of demand bidding and emergency demand response programs

Aalami, H. A., & Khatibzadeh, A. (2016) · International Transactions on Electrical Energy Systems · doi:10.1002/etep.2216 · Cited by 35 · see citing works

A review and vision on authentication and privacy preservation schemes in smart grid network

Agarkar, A. A., & Agrawal, H. (2019) · Security and Privacy · doi:10.1002/spy2.62 · Cited by 35 · see citing works

Strategic energy management in industry 4.0 environment

Javied, T., Bakakeu, J., Gessinger, D., et al. (2018) · 2020 IEEE International Systems Conference (SysCon) · doi:10.1109/syscon.2018.8369610 · Cited by 33 · see citing works

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He, Y. L., Jenkins, N., & Wu, J. (2016) · Energy Procedia · doi:10.1016/j.egypro.2016.11.266 · Cited by 32 · see citing works

A Blockchain-based Architecture for Stable and Trustworthy Smart Grid

Li, Y., Rahmani, R., Fouassier, N., Stenlund, P., & Ouyang, K. (2019) · Procedia Computer Science · doi:10.1016/j.procs.2019.08.057 · Cited by 31 · see citing works

2013 IEEE Green Technologies Conference (GreenTech)

(2013) · doi:10.1109/greentech21059.2013 · Cited by 31 · see citing works

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Kement, C. E., Gültekin, H., Tavlı, B., Gırıcı, T., & Uludag, S. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2718666 · Cited by 30 · see citing works

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Wang, Z., He, H., Wan, Z., et al. (2020) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2020.2972781 · Cited by 29 · see citing works

A survey on energy management and blockchain for collective self-consumption

Stephant, M., Hassam-Ouari, K., Abbes, D., Labrunie, A., & Robyns, B. (2018) · International Conference on Systems and Control (ICSC) · doi:10.1109/icosc.2018.8587812 · Cited by 27 · see citing works

2016 Clemson University Power Systems Conference (PSC)

(2016) · doi:10.1109/psc37291.2016 · Cited by 26 · see citing works

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Black, J. T., Hoffman, A., Hong, T., et al. (2018) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2018.2801442 · Cited by 25 · see citing works

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Spiegel, J., Wira, P., & Hermann, G. (2018) · 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2018.8471921 · Cited by 25 · see citing works

2016 International Conference and Exposition on Electrical and Power Engineering (EPE)

(2016) · doi:10.1109/epe38374.2016 · Cited by 24 · see citing works

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Chicco, G. (2016) · International Conference and Exposition on Electrical and Power Engineering (EPE) · doi:10.1109/icepe.2016.7781443 · Cited by 23 · see citing works

A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system

Al-Mousa, A. A., & Faza, A. Z. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.10.014 · Cited by 23 · see citing works

A data analytical approach using support vector machine for demand response management in smart grid

Jindal, A., Kumar, N., & Singh, M. K. (2016) · IEEE Power and Energy Society General Meeting (PESGM) · doi:10.1109/pesgm.2016.7741457 · Cited by 19 · see citing works

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Johanning, S., & Brückner, T. (2019) · International Conference on the European Energy Market (EEM) · doi:10.1109/eem.2019.8916268 · Cited by 19 · see citing works

2013 Sixth International Conference on Developments in eSystems Engineering

(2013) · doi:10.1109/dese31806.2013 · Cited by 19 · see citing works

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Lawson, V. J., & Ramaswamy, L. M. (2015) · IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2015.124 · Cited by 17 · see citing works

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Bellatreche, L., & Chakravarthy, S. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-64283-3 · Cited by 17 · see citing works

2018 International Conference on Computer, Information and Telecommunication Systems (CITS)

(2018) · doi:10.1109/cits43426.2018 · Cited by 17 · see citing works

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Dimitriou, T. D., Giannetsos, T., & Chen, L. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.01.009 · Cited by 16 · see citing works

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Kuroda, K., Yokoyama, R., Kobayashi, D., et al. (2014) · Asia Modelling Symposium · doi:10.1109/ams.2014.23 · Cited by 15 · see citing works

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(2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-9779-0 · Cited by 15 · see citing works

False data separation for data security in smart grids

Huang, H., Yan, Q., Zhao, Y., et al. (2017) · Knowledge and Information Systems · doi:10.1007/s10115-016-1019-8 · Cited by 14 · see citing works

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Singh, S., Yassine, A., & Benlamri, R. (2019) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00187 · Cited by 14 · see citing works

2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

(2019) · doi:10.1109/dasc/picom/cbdcom/cy48210.2019 · Cited by 14 · see citing works

2019 8th International Conference on Systems and Control (ICSC)

(2019) · doi:10.1109/icsc47195.2019 · Cited by 14 · see citing works

2013 7th Asia Modelling Symposium

(2013) · doi:10.1109/ams32254.2013 · Cited by 13 · see citing works

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector

Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2016) · Decision Analytics · doi:10.1186/s40165-015-0018-2 · Cited by 12 · see citing works

Ethernet-Based Fault Diagnosis and Control in Smart Grid: A Stochastic Analysis via Markovian Model Checking

Uddin, R., Alghamdi, A. S., Uddin, M. H., et al. (2019) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-019-00287-7 · Cited by 10 · see citing works

2017 International Conference on Computer, Information and Telecommunication Systems (CITS)

(2017) · doi:10.1109/cits40638.2017 · Cited by 10 · see citing works

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(2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-73712-6 · Cited by 7 · see citing works

Flexible data acquisition, compression, and reconstruction in advanced metering infrastructure

Hu, Z., Mohagheghi, S., & Sartipi, M. (2016) · Clemson University Power Systems Conference · doi:10.1109/psc.2016.7462838 · Cited by 6 · see citing works

Dynamic pricing of demand response based on elasticity transfer and reinforcement learning

Kong, D., Kong, X., Xiao, J., et al. (2019) · International Conference on Electrical Machines and Systems (ICEMS) · doi:10.1109/icems.2019.8921683 · Cited by 6 · see citing works

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Joshi, A., Das, L., Natarajan, B., et al. (2019) · IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia) · doi:10.1109/gtdasia.2019.8715854 · Cited by 5 · see citing works

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Τσαούσογλου, Γ., Steriotis, K., Efthymiopoulos, N., et al. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.09251 · Cited by 1 · see citing works

Tensor Decomposition of Biometric Data using Singular Value Decomposition

Mistry, N., Tanwar, S., Tyagi, S., et al. (2018) · International Conference on Parallel, Distributed and Grid Computing (PDGC) · doi:10.1109/pdgc.2018.8745719 · Cited by 1 · see citing works

Power Trading Strategy Considering User Response Characteristics Under Incentive Conditions

Dou, X., Zhang, P., Shao, P., et al. (2019) · Lecture notes in electrical engineering · doi:10.1007/978-981-13-9779-0_80 · Cited by 1 · see citing works

Is blockchain able to enhance environmental sustainability? A systematic review and research agenda from the perspective of Sustainable Development Goals (SDGs)

Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2882 · Cited by 429 · see citing works

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Malhotra, P., Singh, Y., Anand, P., Bangotra, D. K., Singh, P. K., & Hong, W.-C. (2021) · Sensors · doi:10.3390/s21051809 · Cited by 260 · see citing works

Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment

Khan, M. A., Saleh, A. M., Waseem, M., & Sajjad, I. A. (2023) · IEEE Access · doi:10.1109/access.2022.3231444 · Cited by 179 · see citing works

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

Kumar, R., Wang, W., Kumar, J., Yang, T., Khan, A., Ali, W., & Ali, I. (2021) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2020.101812 · Cited by 172 · see citing works

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Anand, P., Singh, Y., Selwal, A., Singh, P. K., Felseghi, R. A., & Raboaca, M. S. (2020) · Energies · doi:10.3390/en13184813 · Cited by 72 · see citing works

Preliminary Investigation on User Energy Management System

Wang, W., He, G., Wan, J., et al. (2012) · Dianli xitong zidonghua · Cited by 29 · see citing works

Study and application of microgrid energy management system based on the four-dimensional energy management space

Yang, L., He, B.-L., Yu, Q.-Z., et al. (2014) · doi:10.1109/powercon.2014.6993577 · Cited by 3 · see citing works

Review of home energy management system in smart grid

Yan-y, Z. (2014) · Power System Protection and Control · Cited by 15 · see citing works

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Pooe, K. M., & Mokono, D. I. (2014) · Southern African Institute of Industrial Engineering

Research progress of energy management system for electric vehicle

Shuai-shua, L. (2014) · Chinese Journal of Power Sources