Enhanced leader particle swarm optimisation (ELPSO): a new algorithm for optimal scheduling of home appliances in demand response programs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
http://link.springer.com/content/pdf/10.1007/s10462-019-09726-3.pdf
Reference31 articles.
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2. Arun S, Selvan M (2019) Smart residential energy management system for demand response in buildings with energy storage devices. Front Energy. https://doi.org/10.1007/s11708-018-0538-2
3. Alowaifeer M, Alamri A, Meliopoulos AS (2018) Reliability and cost impacts of home energy management systems. In: 2018 IEEE international conference on probabilistic methods applied to power systems (PMAPS), IEEE, pp 1–6
4. Asare-Bediako B, Kling W, Ribeiro P (2012) Home energy management systems: evolution, trends and frameworks. In: Universities power engineering conference (UPEC), 2012 47th international, IEEE, pp 1–5
5. Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219:8121–8144
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