Demand Response Analysis and Its Application to Smart Grids: A Evolutionary Game Method
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3951-6_15
Reference20 articles.
1. Fan, X., Li, X., Ding, Y., He, J., Zhao, M.: Demand response scheduling algorithm for smart residential communities considering heterogeneous energy consumption. Energy Buildings 279, 112691 (2023). https://doi.org/10.1016/j.enbuild.2022.112691
2. Dileep, G.: A survey on smart grid technologies and applications. Renew. Energy 146, 2589–2625 (2020). https://doi.org/10.1016/j.renene.2019.08.092
3. Majeed Butt, O., Zulqarnain, M., Majeed Butt, T.: Recent advancement in smart grid technology: future prospects in the electrical power network. Ain Shams Eng. J. 12(1), 687–695 (2021). https://doi.org/10.1016/j.asej.2020.05.004
4. Yan, Z., et al.: Renewable energy effects on energy management based on demand response in microgrids environment. Renew. Energy 213, 205–217 (2023). https://doi.org/10.1016/j.renene.2023.05.051
5. Azimi, Z., Hooshmand, R.A., Soleymani, S.: Energy management considering simultaneous presence of demand responses and electric vehicles in smart industrial grids. Sustain. Energy Technol. Assess. 45, 101127 (2021). https://doi.org/10.1016/j.seta.2021.101127
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