Demand side management in smart grid using heuristic optimization
Open accessAbstract
Demand side management (DSM) is one of the important functions in a smart grid that allows customers to make informed decisions regarding their energy consumption, and helps the energy providers reduce the peak load demand and reshape the load profile. This results in increased sustainability of the smart grid, as well as reduced overall operational cost and carbon emission levels. Most of the existing demand side management strategies used in traditional energy management systems employ system specific techniques and algorithms. In addition, the existing strategies handle only a limited number of controllable loads of limited types. This paper presents a demand side management strategy based on load shifting technique for demand side management of future smart grids with a large number of devices of several types. The day-ahead load shifting technique proposed in this paper is mathematically formulated as a minimization problem. A heuristic-based Evolutionary Algorithm (EA) that easily adapts heuristics in the problem was developed for solving this minimization problem. Simulations were carried out on a smart grid which contains a variety of loads in three service areas, one with residential customers, another with commercial customers, and the third one with industrial customers. The simulation results show that the proposed demand side management strategy achieves substantial savings, while reducing the peak load demand of the smart grid.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited works on demand scheduling neglect grid constraints, and therefore there is no strict control of congestion events and voltage issues along the feeders.
“All these works neglect grid constraints, and therefore there is no strict control of congestion events and voltage issues along the feeders.”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [13]
Cites
Handbook of Evolutionary Computation
(1997) · Institute of Physics eBooks · doi:10.1887/0750308958 · Cited by 2,999 · see citing works
Market Operations in Electric Power Systems
Shahidehpour, M., Yamin, H. Y., & Li, Z. (2002) · Wiley eBooks · doi:10.1002/047122412x · Cited by 1,617 · see citing works
Multi-agent system for energy resource scheduling of integrated microgrids in a distributed system
Logenthiran, T., Srinivasan, D., & Khambadkone, A. M. (2010) · Electric Power Systems Research · doi:10.1016/j.epsr.2010.07.019 · Cited by 324 · see citing works
Self-citationDemand-Side Management: Concepts and Methods
Gellings, C. W., & Chamberlin, J. H. (1988) · Medical Entomology and Zoology · Cited by 277 · see citing works
Ten, C., & Hou, Y. (2024) · CRC Press eBooks · doi:10.1201/9781003129769 · Cited by 224 · see citing works
Direct load control-A profit-based load management using linear programming
Ng, K.-H., & Sheblé, G. B. (1998) · IEEE Transactions on Power Systems · doi:10.1109/59.667401 · Cited by 221 · see citing works
Dispatch of direct load control using dynamic programming
Hsu, Y., & Su, C.-C. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.119246 · Cited by 201 · see citing works
An optimization method for load management scheduling
Cohen, A. I., & wang, C. (1988) · IEEE Transactions on Power Systems · doi:10.1109/59.192913 · Cited by 165 · see citing works
A linear programming model for reducing system peak through customer load control programs
Kurucz, C. N., Brandt, D., & Sim, S. R. (1996) · IEEE Transactions on Power Systems · doi:10.1109/59.544648 · Cited by 145 · see citing works
Short term generation scheduling of a Microgrid
Logenthiran, T., & Srinivasan, D. (2009) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2009.5396184 · Cited by 136 · see citing works
Self-citationAn Iterative Deepening Genetic Algorithm for Scheduling of Direct Load Control
Yao, L., Chang, W.-C., & Yen, R.-L. (2005) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.852151 · Cited by 110 · see citing works
A Practical Approach to Appliance Load Control Analysis: A Water Heater Case Study
Lee, S., & Wilkins, C. (1983) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1983.317816 · Cited by 106 · see citing works
Algorithms for a spot price responding residential load controller
Schweppe, F. C., Daryanian, B., & Tabors, R. D. (1989) · IEEE Transactions on Power Systems · doi:10.1109/59.193823 · Cited by 105 · see citing works
Chu, W.-C., Chen, B.-K., & Fu, C.-K. (1993) · IEEE Transactions on Power Systems · doi:10.1109/59.260955 · Cited by 102 · see citing works
An efficient load model for analyzing demand side management impacts
Rahman, S., & Rinaldy (1993) · IEEE Transactions on Power Systems · doi:10.1109/59.260874 · Cited by 101 · see citing works
The Future-Oriented Grid-Smart Grid
Li, Q., & Ming-tian, Z. (2011) · Journal of Computers · doi:10.4304/jcp.6.1.98-105 · Cited by 57 · see citing works
Scalable Multi-Agent System (MAS) for operation of a microgrid in islanded mode
Logenthiran, T., Srinivasan, D., Khambadkone, A. M., & Aung, H. N. (2010) · IEEE International Conference on Power Electronics, Drives and Energy Systems · doi:10.1109/pedes.2010.5712459 · Cited by 42 · see citing works
Self-citationWeller, H. G. (1988) · IEEE Transactions on Power Systems · doi:10.1109/59.43198 · Cited by 19 · see citing works
Direct load control as a market-based program in deregulated power industries
Popovic, Z. N., & Popovic, D. S. (2004) · doi:10.1109/ptc.2003.1304491 · Cited by 17 · see citing works
Management of Distributed Energy Resources Using Intelligent Multi-Agent System
Logenthiran, T., & Srinivasan, D. (2010) · IGI Global eBooks · doi:10.4018/978-1-60566-898-7.ch012 · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
Vardakas, J. S., Zorba, N., & Verikoukis, C. V. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2341586 · Cited by 951 · see citing works
Demand side management in smart grid: A review and proposals for future direction
Gelažanskas, L., & Gamage, K. A. A. (2013) · Sustainable Cities and Society · doi:10.1016/j.scs.2013.11.001 · Cited by 624 · see citing works
Bio-inspired computation: Where we stand and what's next
Ser, J. D., Osaba, E., Molina, D., Yang, X., Salcedo‐Sanz, S., Camacho, D., Das, S., Suganthan, P. N., Coello, C. A. C., & Herrera, F. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.04.008 · Cited by 595 · see citing works
Optimisation of demand response in electric power systems, a review
Jordehi, A. R. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.12.054 · Cited by 500 · see citing works
Load forecasting, dynamic pricing and DSM in smart grid: A review
Khan, A. R., Mahmood, A., Safdar, A., Khan, Z. A., & Khan, N. A. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.10.117 · Cited by 468 · see citing works
On heat pumps in smart grids: A review
Fischer, D. S., & Madani, H. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.182 · Cited by 446 · see citing works
Cloud Computing Applications for Smart Grid: A Survey
Bera, S., Misra, S., & Rodrigues, J. J. P. C. (2014) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2014.2321378 · Cited by 434 · see citing works
Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator
Logenthiran, T., Srinivasan, D., Khambadkone, A. M., & Aung, H. N. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2189028 · Cited by 341 · see citing works
Self-citationState-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review
Ali, S. S., & Choi, B. J. (2020) · Electronics · doi:10.3390/electronics9061030 · Cited by 359 · see citing works
Tushar, M. H. K., Zeineddine, A. W., & Assi, C. M. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2755465 · Cited by 337 · see citing works
A survey of industrial applications of Demand Response
Shoreh, M. H., Siano, P., Shafie-khah, M., Loia, V., & Catalão, J. P. S. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.07.008 · Cited by 302 · see citing works
Rahim, S., Javaid, N., Ahmad, A., Khan, S., Khan, Z. A., Alrajeh, N. A., & Qasim, U. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.08.008 · Cited by 300 · see citing works
A survey on the critical issues in smart grid technologies
Çolak, İ., Sağıroğlu, Ş., Fulli, G., Yeşilbudak, M., & Covrig, C. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.10.036 · Cited by 299 · see citing works
Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities
Pipattanasomporn, M., Kuzlu, M., Rahman, S., & Teklu, Y. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2268664 · Cited by 296 · see citing works
Bakare, M. S., Abdulkarim, A., Zeeshan, M., & Shuaibu, A. N. (2023) · Energy Informatics · doi:10.1186/s42162-023-00262-7 · Cited by 293 · see citing works
Howell, S., Rezgui, Y., Hippolyte, J.-L., Jayan, B., & Li, H. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.03.107 · Cited by 289 · see citing works
Demand side management of photovoltaic-battery hybrid system
Wu, Z., Tazvinga, H., & Xia, X. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.03.109 · Cited by 279 · see citing works
A review of nanogrid topologies and technologies
Burmester, D., Rayudu, R. K., Seah, W. K. G., & Akinyele, D. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.09.073 · Cited by 273 · see citing works
Progress on the demand side management in smart grid and optimization approaches
Sarker, E., Halder, P. K., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., & Stojcevski, A. (2020) · International Journal of Energy Research · doi:10.1002/er.5631 · Cited by 272 · see citing works
Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints
Angelis, F. D., Boaro, M., Fuselli, D., Squartini, S., Piazza, F., & Wei, Q. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2230637 · Cited by 270 · see citing works
An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources
Ahmad, A., Khan, A., Javaid, N., Hussain, H. M., Abdul, W., Almogren, A., Alamri, A. M., & Niaz, I. A. (2017) · Energies · doi:10.3390/en10040549 · Cited by 268 · see citing works
Esther, B. P., & Kumar, K. S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.282 · Cited by 264 · see citing works
Fallah, N., Deo, R. C., Shojafar, M., Conti, M., & Shamshirband, S. (2018) · Energies · doi:10.3390/en11030596 · Cited by 255 · see citing works
Yildiz, B., Bilbao, J. I., Dore, J., & Sproul, A. B. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.10.014 · Cited by 241 · see citing works
Demand side management in microgrid: A critical review of key issues and recent trends
Kanakadhurga, D., & Prabaharan, N. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111915 · Cited by 245 · see citing works
Design and management of a distributed hybrid energy system through smart contract and blockchain
Li, Y., Yang, W., He, P., Chen, C., & Wang, X. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.04.132 · Cited by 233 · see citing works
Panda, D. K., & Das, S. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.126877 · Cited by 226 · see citing works
López, M. A., de la Torre, S., Martín, S., & Aguado, J. A. (2015) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.07.065 · Cited by 221 · see citing works
Demand Response for Residential Appliances via Customer Reward Scheme
Vivekananthan, C., Mishra, Y., Ledwich, G. F., & Li, F. F. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2298514 · Cited by 222 · see citing works
Residential Demand Side Management model, optimization and future perspective: A review
Panda, S., Mohanty, S., Rout, P. K., Sahu, B. K., Bajaj, M., Zawbaa, H. M., & Kamel, S. M. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.02.300 · Cited by 222 · see citing works
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
Wang, X., Wang, H., Bhandari, B., & Cheng, L. (2023) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-023-00537-0 · Cited by 233 · see citing works
Liu, Y., Yuen, C., Huang, S., Hassan, N. U., Wang, X., & Xie, S. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2332301 · Cited by 205 · see citing works
Time-of-use based electricity demand response for sustainable manufacturing systems
Wang, Y., & Li, L. (2013) · Energy · doi:10.1016/j.energy.2013.10.011 · Cited by 203 · see citing works
Khalid, A., Javaid, N., Guizani, M., Alhussein, M. A., Aurangzeb, K., & Ilahi, M. (2018) · IEEE Access · doi:10.1109/access.2018.2791546 · Cited by 200 · see citing works
Genetic Algorithm Based Demand Side Management for Smart Grid
Bharathi, C., Rekha, D., & Vijayakumar, V. (2017) · Wireless Personal Communications · doi:10.1007/s11277-017-3959-z · Cited by 199 · see citing works
Multi-objective economic dispatch of a microgrid considering electric vehicle and transferable load
Hou, H., Xue, M., Xu, Y. H., Xiao, Z., Deng, X., Xu, T., Liu, P., & Cui, R. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.114489 · Cited by 193 · see citing works
Ahsan, F., Dana, N. H., Sarker, S. K., Li, L., Muyeen, S. M., Ali, M. F., Tasneem, Z., Hasan, M. M., Abhi, S. H., Islam, M. R., et al. (2023) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-023-00319-5 · Cited by 193 · see citing works
An Intelligent Load Management System With Renewable Energy Integration for Smart Homes
Javaid, N., Ullah, I., Akbar, M., Iqbal, Z., Khan, F. A., Alrajeh, N. A., & Alabed, M. S. (2017) · IEEE Access · doi:10.1109/access.2017.2715225 · Cited by 190 · see citing works
Arias, N. B., Hashemi, S., Andersen, P. B., Træholt, C., & Romero, R. A. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2889439 · Cited by 182 · see citing works
Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A. M., & Niaz, I. A. (2017) · Energies · doi:10.3390/en10030319 · Cited by 181 · see citing works
Hussain, H. M., Javaid, N., Iqbal, S., Hasan, Q. U., Aurangzeb, K., & Alhussein, M. A. (2018) · Energies · doi:10.3390/en11010190 · Cited by 173 · see citing works
Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids
Graditi, G., Silvestre, M. L. D., Gallea, R., & Sanseverino, E. R. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2331000 · Cited by 172 · see citing works
Javaid, N., Hafeez, G., Iqbal, S., Alrajeh, N. A., Alabed, M. S., & Guizani, M. (2018) · IEEE Access · doi:10.1109/access.2018.2866461 · Cited by 172 · see citing works
On the assessment and control optimisation of demand response programs in residential buildings
Pallonetto, F., Роса, М. Д., D’Ettorre, F., & Finn, D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109861 · Cited by 172 · see citing works
Multi-objective dynamic economic and emission dispatch with demand side management
Lokeshgupta, B., & Sivasubramani, S. (2017) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.11.020 · Cited by 167 · see citing works
Chamandoust, H., Derakhshan, G., Hakimi, S. M., & Bahramara, S. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2019.101112 · Cited by 165 · see citing works
Tri-objective optimal scheduling of smart energy hub system with schedulable loads
Chamandoust, H., Derakhshan, G., Hakimi, S. M., & Bahramara, S. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.07.059 · Cited by 160 · see citing works
Sharda, S., Singh, M., & Sharma, K. (2020) · Sustainable Cities and Society · doi:10.1016/j.scs.2020.102517 · Cited by 159 · see citing works
Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort
Waseem, M., Lin, Z., Liu, S., Sajjad, I. A., & Aziz, T. (2020) · Electric Power Systems Research · doi:10.1016/j.epsr.2020.106477 · Cited by 151 · see citing works
Optimal operation of smart distribution networks: A review of models, methods and future research
Evangelopoulos, V. A., Georgilakis, P. S., & Hatziargyriou, N. D. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.06.035 · Cited by 149 · see citing works
Game-Theory based dynamic pricing strategies for demand side management in smart grids
Srinivasan, D., Rajgarhia, S., Radhakrishnan, B. M., Sharma, A., & Khincha, H. P. (2017) · Energy · doi:10.1016/j.energy.2016.11.142 · Cited by 143 · see citing works
Self-citationReal-Time PEV Charging/Discharging Coordination in Smart Distribution Systems
Shaaban, M. F., Ismail, M., El-Saadany, E. F., & Zhuang, W. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2311457 · Cited by 142 · see citing works
Distributed Model Predictive Control for On-Connected Microgrid Power Management
Zheng, Y., Li, S., & Tan, R. (2017) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2692739 · Cited by 139 · see citing works
Electric energy management in residential areas through coordination of multiple smart homes
Celik, B., Roche, R., Suryanarayanan, S., Bouquain, D., & Miraoui, A. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.05.118 · Cited by 139 · see citing works
Hafeez, G., Wadud, Z., Khan, I. U., Khan, I., Shafiq, Z., Usman, M., & Khan, M. U. A. (2020) · Sensors · doi:10.3390/s20113155 · Cited by 139 · see citing works
Distributed Online Optimal Energy Management for Smart Grids
Zhang, W., Xu, Y., Liu, W., Zang, C., & Yu, H. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2426419 · Cited by 138 · see citing works
Intelligent demand side management for optimal energy scheduling of grid connected microgrids
Kumar, R. S., Raghav, L. P., Raju, D. K., & Singh, A. R. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.116435 · Cited by 138 · see citing works
Muralitharan, K., Sakthivel, R., & Shi, Y. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.11.015 · Cited by 137 · see citing works
Green Energy Scheduling for Demand Side Management in the Smart Grid
Wang, K., Li, H., Maharjan, S., Zhang, K., & Guo, S. (2018) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2018.2797533 · Cited by 137 · see citing works
Optimization methods for power scheduling problems in smart home: Survey
Makhadmeh, S. N., Khader, A. T., Al‐Betar, M. A., Naim, S., Abasi, A. K., & Alyasseri, Z. A. A. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109362 · Cited by 131 · see citing works
Papadimitrakis, M., Γιαμαρέλος, Ν., Στογιάννος, Μ., Zois, E. N., Livanos, N.-A. I., & Alexandridis, A. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111072 · Cited by 130 · see citing works
Design, Implementation, and Deployment of an IoT Based Smart Energy Management System
Saleem, M., Usman, M. R., & Shakir, M. (2021) · IEEE Access · doi:10.1109/access.2021.3070960 · Cited by 136 · see citing works
Real-Time Pricing for Demand Response Based on Stochastic Approximation
Samadi, P., Mohsenian‐Rad, H., Wong, V. W. S., & Schober, R. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2293131 · Cited by 126 · see citing works
Day ahead scheduling of generation and storage in a microgrid considering demand Side management
Kumar, K. P., & Saravanan, B. (2018) · Journal of Energy Storage · doi:10.1016/j.est.2018.11.010 · Cited by 126 · see citing works
Wang, Z., & Paranjape, R. B. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2479557 · Cited by 123 · see citing works
A new heuristically optimized Home Energy Management controller for smart grid
Javaid, N., Naseem, M., Rasheed, M. B., Mahmood, D., Khan, S., Alrajeh, N. A., & Iqbal, Z. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.06.009 · Cited by 122 · see citing works
Scalable and Robust Demand Response With Mixed-Integer Constraints
Kim, S.-J., & Giannakis, G. B. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2257893 · Cited by 120 · see citing works
Firouzmakan, P., Hooshmand, R., Bornapour, M., & Khodabakhshian, A. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.04.001 · Cited by 120 · see citing works
Kumar, D. S., Gandhi, O., Gallegos, C. D. R., & Srinivasan, D. (2020) · Solar Energy · doi:10.1016/j.solener.2020.08.047 · Cited by 118 · see citing works
Self-citationA review of electricity product differentiation
Woo, C. K., Sreedharan, P., Hargreaves, J. J., Kahrl, F., Wang, J., & Horowitz, I. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.09.070 · Cited by 117 · see citing works
Chen, J., Zhang, W., Li, J., Zhang, W., Liu, Y., Zhao, B., & Zhang, Y. (2017) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2017.2724583 · Cited by 117 · see citing works
Rahman, M. M., Arefi, A., Shafiullah, G., & Hettiwatte, S. N. (2018) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.12.034 · Cited by 116 · see citing works
Optimizing the management of smart home energy resources under different power cost scenarios
Gonçalves, I., Gomes, Á., & Antunes, C. H. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.03.108 · Cited by 114 · see citing works
Fuzzy energy management controller and scheduler for smart homes
Khalid, R., Javaid, N., Rahim, M. H., Aslam, S., & Sher, A. (2018) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2018.11.010 · Cited by 113 · see citing works
A Low Complexity and Secure Demand Response Technique for Peak Load Reduction
Parizy, E. S., Bahrami, H. R., & Choi, S. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2822729 · Cited by 111 · see citing works
Heuristic Optimization for an Aggregator-Based Resource Allocation in the Smart Grid
Hansen, T. M., Roche, R., Suryanarayanan, S., Maciejewski, A. A., & Siegel, H. J. (2015) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2015.2399359 · Cited by 111 · see citing works
Hybrid meta-heuristic optimization based home energy management system in smart grid
Khan, Z. A., Zafar, A., Javaid, S., Aslam, S., Rahim, M. H., & Javaid, N. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-018-01169-y · Cited by 111 · see citing works
User-expected price-based demand response algorithm for a home-to-grid system
Li, X., & Hong, S. H. (2013) · Energy · doi:10.1016/j.energy.2013.11.049 · Cited by 110 · see citing works
Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective
Kazmi, S. A. A., Shahzad, M. K., Khan, A. Z., & Shin, D. R. (2017) · Energies · doi:10.3390/en10040501 · Cited by 109 · see citing works
A multi-objective genetic approach to domestic load scheduling in an energy management system
Soares, A., Antunes, C. H., Oliveira, C., & Gomes, Á. (2014) · Energy · doi:10.1016/j.energy.2014.05.101 · Cited by 108 · see citing works
Pal, S., & Kumar, R. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2787121 · Cited by 108 · see citing works
Remani, T., Jasmin, E. A., & Ahamed, T. P. I. (2019) · IEEE Systems Journal · doi:10.1109/jsyst.2018.2855689 · Cited by 106 · see citing works
A generic demand-side management model for smart grid
Khan, M. A., Javaid, N., Mahmood, A., Khan, Z. A., & Alrajeh, N. A. (2015) · International Journal of Energy Research · doi:10.1002/er.3304 · Cited by 105 · see citing works
Zhu, Z., Lambotharan, S., Chin, W. H., & Fan, Z. (2015) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2390035 · Cited by 105 · see citing works
Hu, M., Xiao, F., & Wang, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110248 · Cited by 105 · see citing works
Li, D., & Dick, S. (2018) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2865702 · Cited by 104 · see citing works
Overview of the Optimal Smart Energy Coordination for Microgrid Applications
Mbungu, N. T., Naidoo, R. M., Bansal, R. C., & Vahidinasab, V. (2019) · IEEE Access · doi:10.1109/access.2019.2951459 · Cited by 105 · see citing works
Data-driven load profiles and the dynamics of residential electricity consumption
Anvari, M., Proedrou, E., Schäfer, B., Beck, C., Kantz, H., & Timme, M. (2022) · Nature Communications · doi:10.1038/s41467-022-31942-9 · Cited by 104 · see citing works
Lindberg, K. B., Bakker, S. J. S., & Sartori, I. (2019) · Utilities Policy · doi:10.1016/j.jup.2019.03.004 · Cited by 103 · see citing works
Dkhili, N., Eynard, J., Thil, S., & Grieu, S. (2019) · Sustainable Energy Grids and Networks · doi:10.1016/j.segan.2019.100284 · Cited by 103 · see citing works
A Real-Time Electricity Scheduling for Residential Home Energy Management
Li, S., Yang, J., Song, W., & Chen, A. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2872463 · Cited by 101 · see citing works
Gandhi, O., Gallegos, C. D. R., Zhang, W., Srinivasan, D., & Reindl, T. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.08.154 · Cited by 98 · see citing works
Self-citationModel-based assessment of demand-response measures—A comprehensive literature review
Boßmann, T., & Eser, E. J. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.031 · Cited by 97 · see citing works
Distributed Online Algorithm for Optimal Real-Time Energy Distribution in the Smart Grid
Wang, Y., Mao, S., & Nelms, R. M. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2305667 · Cited by 96 · see citing works
Kazmi, S., Javaid, N., Mughal, M. J., Akbar, M., Ahmed, S. H., & Alrajeh, N. A. (2017) · IEEE Access · doi:10.1109/access.2017.2763624 · Cited by 96 · see citing works
Optimum Sizing of Distributed Generation and Storage Capacity in Smart Households
Kahrobaee, S., Asgarpoor, S., & Qiao, W. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2278783 · Cited by 94 · see citing works
Kaushik, E., Prakash, V., Mahela, O. P., Khan, B., El‐Shahat, A., & Abdelaziz, A. Y. (2022) · Energies · doi:10.3390/en15020516 · Cited by 93 · see citing works
Shewale, A., Mokhade, A., Funde, N. A., & Bokde, N. D. (2020) · Energies · doi:10.3390/en13164266 · Cited by 92 · see citing works
Algorithm for Demand Response to Maximize the Penetration of Renewable Energy
Hadi, A. A., Silva, C., Hossain, E., & Challoo, R. (2020) · IEEE Access · doi:10.1109/access.2020.2981877 · Cited by 91 · see citing works
- Authors
- Logenthiran, T., Srinivasan, D., & Shun, T. Z.
- Affiliations
- National University of Singapore (SG)
- Venue
- IEEE Transactions on Smart Grid
- Published
- 2012-09
- Volume
- 3
- Issue
- 3
- Pages
- 1244-1252
- ISSN
- 1949-3053 (ISSN-L)
- 1949-3061
- OpenAlex
- W2055134499
- Cited by
- 1,229
- References
- 21
- Citations by year
- 2026: 35 · 2025: 40 · 2024: 49 · 2023: 75 · 2022: 103 · 2021: 110 · 2020: 106 · 2019: 129 · 2018: 146 · 2017: 142 · 2016: 107 · 2015: 89 · 2014: 59 · 2013: 35 · 2012: 4
- FWCI
- 38.24
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- IEEE Transactions on Smart Grid (publishedVersion)
- National University of Singapore (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- demand-side management, smart grid, load shifting, day-ahead scheduling, peak shaving, flexible loads, evolutionary algorithms, heuristic optimization, energy cost reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
