Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks

Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks

Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. In this context, machine learning and data analytic...

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Bibliographic Details
Main Authors: Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia, Marco Mussetta
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Forecasting
Subjects:
load forecasting
recurrent neural network
self adaptive Adam optimizer
Principal Component Analysis
Hourly Ahead Market
Online Access:https://www.mdpi.com/2571-9394/4/1/8

Internet

https://www.mdpi.com/2571-9394/4/1/8

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