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

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

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 detailed real-time information is available thanks to Communications and Informat...

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Bibliographic Details
Main Authors: Jaime Lloret, Álvaro González, Javier Sanjuán, Belén Carro, Antonio Sánchez-Esguevillas, Lorena Calavia, Carlos Baladrón, Javier M. Aguiar, Luis Hernández
Format: Article
Language:English
Published: MDPI AG 2013-08-01
Series:Energies
Subjects:
artificial neural network
short-term load forecasting
microgrid
multilayer perceptron
peak load forecasting
valley load forecasting
next day’s total load
Online Access:http://www.mdpi.com/1996-1073/6/9/4489

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http://www.mdpi.com/1996-1073/6/9/4489

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