Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption

DOI10.1016/J.AMC.2006.08.093zbMath1222.78031MaRDI QIDQ884650

S. Tarverdian, Morteza Saberi, Seyed Farid Ghaderi, Ali Azadeh

Publication date: 6 June 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

zbMATH Keywords

estimationgenetic algorithmartificial neural networkenergy demand

Mathematics Subject Classification ID

Technical applications of optics and electromagnetic theory (78A55)

Related Items (4)

Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system ⋮ Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption ⋮ A new class of nonmonotone conjugate gradient training algorithms ⋮ Periodically correlated models for short-term electricity load forecasting

Cites Work

• Unnamed Item
• Unnamed Item
• Genetic algorithm for constrained global optimization in continuous variables
• Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption
• Genetic learning of fuzzy cognitive maps
• A combined genetic algorithm-fuzzy logic controller (GA--FLC) in nonlinear programming

This page was built for publication: Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption