Short Term Electric Load Forecasting Based on Data Transformation and Statistical Machine Learning

Short Term Electric Load Forecasting Based on Data Transformation and Statistical Machine Learning

The continuous penetration of renewable energy resources (RES) into the energy mix and the transition of the traditional electric grid towards a more intelligent, flexible and interactive system, has brought electrical load forecasting to the foreground of smart grid planning and operation. Predicti...

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Bibliographic Details
Main Authors: Nikos Andriopoulos, Aristeidis Magklaras, Alexios Birbas, Alex Papalexopoulos, Christos Valouxis, Sophia Daskalaki, Michael Birbas, Efthymios Housos, George P. Papaioannou
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
short-term electrical load forecasting
machine learning
deep learning
statistical analysis
parameters tuning
CNN
Online Access:https://www.mdpi.com/2076-3417/11/1/158

Internet

https://www.mdpi.com/2076-3417/11/1/158

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