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Improved Short-Term Load Forecasting Based on Two-Stage Predictions with Artificial Neural Networks in a Microgrid Environment

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Calavia Domínguez, Lorena; Carro Martínez, Belén; Sanchez-Esguevillas, Antonio; Sanjuan, Javier; Gonzalez, Alvaro; Lloret, Jaime (MDPI, 2013-09)

Short-Term Load Forecasting plays a significant role in energy generation planning, and is specially gaining momentum in the emerging Smart Grids environment, which usually presents highly disaggregated scenarios where ...
Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

Hernández, Luis; Baladrón Zorita, Carlos; Aguiar Pérez, Javier Manuel; Carro Martínez, Belén; Sanchez-Esguevillas, Antonio; Lloret, Jaime (MDPI, 2013-03)

Electricity is indispensable and of strategic importance to national economies. Consequently, electric utilities make an effort to balance power generation and demand in order to offer a good service at a competitive price. ...

Mostrando ítems 1-2 de 2