The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
An Intelligent Load Management System With Renewable Energy Integration for Smart Homes
Open accessAbstract
Demand side management (DSM) will play a significant role in the future smart grid by managing loads in a smart way. DSM programs, realized via home energy management systems for smart cities, provide many benefits; consumers enjoy electricity price savings and utility operates at reduced peak demand. In this paper, evolutionary algorithms-based (binary particle swarm optimization, genetic algorithm, and cuckoo search) DSM model for scheduling the appliances of residential users is presented. The model is simulated in time of use pricing environment for three cases: 1) traditional homes; 2) smart homes; and 3) smart homes with renewable energy sources. Simulation results show that the proposed model optimally schedules the appliances resulting in electricity bill and peaks reductions.
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Citations
Cites
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
Hardware Design of Smart Home Energy Management System With Dynamic Price Response
Hu, Q., & Li, F. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2258181 · Cited by 261
An efficient power scheduling scheme for residential load management in smart homes
Rasheed, M., Javaid, N., Ahmad, A., Khan, Z., Qasim, U., & Alrajeh, N. (2015) · Applied Sciences · doi:10.3390/app5041134 · Cited by 134
Self-citation
Cited by
Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou, Y., & Zhang, G. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100195 · Cited by 288
Metadata
- Authors
- Javaid, N., Ullah, I., Akbar, M., Iqbal, Z., Khan, F. A., Alrajeh, N., & Alabed, M. S.
- Venue
- IEEE Access
- Published
- 2017
- Volume
- 5
- Pages
- 13587-13600
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2625867474
- Cited by
- 190
- References
- 4
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- gold
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- Javaid, N., Ullah, I., Akbar, M., Iqbal, Z., Khan, F. A., Alrajeh, N., & Alabed, M. S. (2017). An Intelligent Load Management System With Renewable Energy Integration for Smart Homes. IEEE Access. https://doi.org/10.1109/access.2017.2715225
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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.
