A hybrid neural network and simulated annealing approach to the unit commitment problem

DOI10.1016/S0045-7906(99)00037-3zbMath1006.68572WikidataQ126771597 ScholiaQ126771597MaRDI QIDQ1860016

Yanyan Li

Publication date: 20 February 2003

Published in: Computers and Electrical Engineering (Search for Journal in Brave)

zbMATH Keywords

simulated annealingartificial neural networksunit commitmentpower system planning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Computer system organization (68M99)

Related Items (4)

A floating-point genetic algorithm for solving the unit commitment problem ⋮ Large-scale unit commitment under uncertainty: an updated literature survey ⋮ A comparative study of three different mathematical methods for solving the unit commitment problem ⋮ Large-scale unit commitment under uncertainty

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