A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality

A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality

Power forecasting models offer valuable insights on the electricity consumption patterns of clients, enabling the development of advanced strategies and applications aimed at energy saving, increased energy efficiency, and smart energy pricing. The data collection process for client consumption mode...

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Bibliographic Details
Main Authors: Dimitrios Kontogiannis, Dimitrios Bargiotas, Aspassia Daskalopulu, Lefteri H. Tsoukalas
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
power forecasting
energy
machine learning
neural networks
artificial intelligence
data analysis
Online Access:https://www.mdpi.com/1996-1073/14/19/6088

Internet

https://www.mdpi.com/1996-1073/14/19/6088

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