A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid

A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid

In the operation of a smart grid (SG), day-ahead load forecasting (DLF) is an important task. The SG can enhance the management of its conventional and renewable resources with a more accurate DLF model. However, DLF model development is highly challenging due to the non-linear characteristics of lo...

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Bibliographic Details
Main Authors: Ashfaq Ahmad, Nadeem Javaid, Nabil Alrajeh, Zahoor Ali Khan, Umar Qasim, Abid Khan
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Applied Sciences
Subjects:
day-ahead
load forecast
artificial neural network
activation function
training process
multi-variate auto-regressive model
Online Access:http://www.mdpi.com/2076-3417/5/4/1756

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http://www.mdpi.com/2076-3417/5/4/1756

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