The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources
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Cites
Smart Grid Technologies: Communication Technologies and Standards
Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2166794 · Cited by 2,688
Demand response and smart grids – a survey
Siano, P. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.022 · Cited by 2,411
Demand side management in smart grid using heuristic optimization
Logenthiran, T., Srinivasan, D., & Shun, T. Z. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2195686 · Cited by 1,229
An Optimal Power Scheduling Method for Demand Response in Home Energy Management System
Zhao, Z., Lee, W. C., Shin, Y., & Song, K.-B. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2251018 · Cited by 707
Demand side management in smart grid: A review and proposals for future direction
Gelazanskas, L., & Gamage, K. A. A. (2014) · Sustainable Cities and Society · doi:10.1016/j.scs.2013.11.001 · Cited by 625
Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing
Tsui, K. M., & Chan, S. C. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2218835 · Cited by 526
2011 IEEE Congress of Evolutionary Computation (CEC)
(2011) · doi:10.1109/cec15497.2011 · Cited by 487
Genetic-Algorithm-Based Optimization Approach for Energy Management
Arabali, A., Ghofrani, M., Etezadi-Amoli, M., Fadali, M. S., & Baghzouz, Y. (2013) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2012.2219598 · Cited by 388
Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization
Pedrasa, M., Spooner, T. D., & MacGill, I. F. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2021219 · Cited by 282
An integer linear programming based optimization for home demand-side management in smart grid
Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z. (2012) · IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) · doi:10.1109/isgt.2012.6175785 · Cited by 279
Cited by
Energy management system for smart grid: An overview and key issues
Rathor, S. K., & Saxena, D. (2020) · International Journal of Energy Research · doi:10.1002/er.4883 · Cited by 494
Bakare, M. S., Abdulkarim, A., Zeeshan, M., & Shuaibu, A. N. (2023) · Energy Informatics · doi:10.1186/s42162-023-00262-7 · Cited by 283
Multi-Agent Reinforcement Learning for Smart Community Energy Management
Wilk, P., Wang, N., & Li, J. (2024) · doi:10.20944/preprints202410.0082.v1 · Cited by 36
Metadata
- Authors
- Rahim, S., Javaid, N., Ahmad, A., Khan, S. A., Khan, Z. A., Alrajeh, N., & Qasim, U.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 129
- Pages
- 452-470
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2510963664
- Cited by
- 299
- References
- 32
- FWCI
- 21.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Rahim, S., Javaid, N., Ahmad, A., Khan, S. A., Khan, Z. A., Alrajeh, N., & Qasim, U. (2016). Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2016.08.008
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.