Comparison of echo state network and feed-forward neural networks in electrical load forecasting for demand response programs

DOI10.1016/j.matcom.2020.07.011OpenAlexW3047986212MaRDI QIDQ1998573

Marco Mussetta, Francesco Grimaccia, Muhammad Mansoor, Sonia Leva

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2020.07.011

zbMATH Keywords

neural networkload forecastingecho state networkdemand response programs

Mathematics Subject Classification ID

Statistical sampling theory and related topics (62Dxx)

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• Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
• ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network

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