A Complex-Valued Neural Network Approach to Time Series Forecasting in Smart Grid Energy Systems

This work is devoted to the application of complex-valued neural networks based on the multilayer neural network with multi-valued neurons (MLMVN) for short-term electrical load forecasting in smart grid energy systems. Accurate forecasting is a critical component of energy management systems, as it...

Full description

Bibliographic Details

Published in:	Energies
Main Authors:	Igor Aizenberg, Lorenzo Becchi, Marco Bindi, Matteo Intravaia, Antonio Luchetta
Format:	Article
Language:	English
Published:	MDPI AG 2026-05-01
Subjects:	time series forecasting smart grid energy systems MLMVN complex-valued neural networks
Online Access:	https://www.mdpi.com/1996-1073/19/9/2247