0 Downloads0 Views0% Trend
Advanced power generation & demand forecasting considering the complete energy matrix using an artificial neural network
Summary
Abstract
This paper introduces the application of an Artificial Neural Network to perform the power generation & demand forecasting of a regional electricity network. The main technical contribution of this ar...
Description
Advisor
Journal Title
Volume Title
Sponsorship
Citation
J. A. Lopez-Leyva, C. Barrera-Silva and L. F. Sarmiento-Leyva, "Advanced Power Generation & Demand Forecasting Considering the Complete Energy Matrix using an Artificial Neural Network," 2021 IEEE International Conference on Engineering Veracruz (ICEV), Boca del Río, Veracruz, Mexico, 2021, pp. 1-5, doi: 10.1109/ICEV52951.2021.9632655. keywords: {Correlation;Conferences;Demand forecasting;Artificial neural networks;Power generation;correlation factor;power generation & demand forecasting;Artificial Neural Network},
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as Atribución-NoComercial-CompartirIgual 2.5 México