Bi-objective Optimal Scheduling of Smart Homes Appliances Using Artificial Intelligence-Reference-Cited by-同舟云学术

Bi-objective Optimal Scheduling of Smart Homes Appliances Using Artificial Intelligence

Published:2023 Issue: Volume: Page:199-220
ISSN:2522-8595
Container-title:Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
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Author:

Goyal Govind Rai^ORCID,Vadhera Shelly^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26496-2_10

Reference30 articles.

1. Anees, A., Dillon, T., Wallis, S., & Chen, Y.-P. P. (2021). Optimization of day-ahead and real-time prices for smart home community. International Journal of Electrical Power & Energy Systems, 124, 106403, ISSN 0142-0615.

2. Goyal, G. R., & Vadhera, S. (2020). Challenges of implementing demand side management in developing countries. Journal of Power Technologies, 100(1), 43–58, ISSN: 2083-4187.

3. Albadi, M. H., & El-Saadany, E. F. (2007). Demand response in electricity markets: An overview. In 2007 IEEE Power Engineering Society General Meeting. IEEE.

4. Barbato, A., & Capone, A. (2014). Optimization models and methods for demand-side management of residential users: A survey. Energies, 7(9), 5787–5824.

5. Rasheed, M. B., et al. (2016). Real time information based energy management using customer preferences and dynamic pricing in smart homes. Energies, 9(7), 542.

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