Genetic Algorithm Based Resident Load Scheduling for Electricity Cost Reduction
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5078-9_46
Reference23 articles.
1. Soares A, Gomes Á, Antunes CH, Cardoso H (2013) Domestic load scheduling using genetic algorithms. EvoApplications 2013, LNCS 7835. Springer, Berlin, Heidelberg, pp 142–151
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3. Zhao Z, Lee WC, Shin Y, Song K-B (2013) An optimal power scheduling method for demand response in home energy management system. IEEE Trans Smart Grid 4(3)
4. Yuce B, Rezgui Y, Mourshed M (2016) ANN-GA smart appliance scheduling for optimised energy management in the domestic sector Energy Build 111:311–325. https://doi.org/10.1016/j.enbuild.2015.11.017
5. Agamah US, Ekonomou L (2017) Energy storage system scheduling for peak demand reduction using evolutionary combinatorial optimization. Sustain Energy Technol Assess 23:73–82
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