Enhanced leader particle swarm optimisation (ELPSO): a new algorithm for optimal scheduling of home appliances in demand response programs

Smart grids enable the residential consumers to have an active role in the management of their electricity consumption through home energy management (HEM) systems. HEM systems adjust the ON–OFF status and/or operation modes of home appliances under demand response programs, typically in a way that...

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Veröffentlicht in:	The Artificial intelligence review Jg. 53; H. 3; S. 2043 - 2073
1. Verfasser:	Rezaee Jordehi, Ahmad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.03.2020 Springer Springer Nature B.V
Schlagworte:	Algorithms Alternative fuel vehicles Appliances Artificial Intelligence Comfort Computer Science Constraints Consumers Demand side management Electric appliances Electric power demand Electric vehicles Electrical loads Electricity Electricity consumption Energy consumption Energy management Fuel consumption Function words Home appliances Household appliances Integers Mathematical optimization Multiple objective analysis Objectives Optimization algorithms Particle swarm optimization Peak load Production scheduling Residential energy Scheduling Search algorithms Smart buildings Smart grid Swarm intelligence Variables Electrical energy Demand response Energy Optimisation Metaheuristics Particle swarm optimisation
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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