An artificial neural network-based forecasting model of energy-related time series for electrical grid management

DOI10.1016/J.MATCOM.2020.05.010OpenAlexW3024779795MaRDI QIDQ1998577

M. C. Di Piazza, M. Luna, A. Di Piazza, G. La Tona

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.2020.05.010

zbMATH Keywords

modelingartificial neural networksolar radiationwind speedgrid management

Mathematics Subject Classification ID

Inference from stochastic processes (62Mxx)

Related Items (3)

Energy consumption prediction model with deep inception residual network inspiration and LSTM ⋮ Special issue ELECTRIMACS 2019 engineering modelling and computational simulation for analysis and optimization in electrical power engineering ⋮ Multi-input bio-inspired weights and structure determination neuronet with applications in European central bank publications

Cites Work

• Unnamed Item
• Unnamed Item

This page was built for publication: An artificial neural network-based forecasting model of energy-related time series for electrical grid management