Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning

Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning

In this work, we present a novel approach for predicting short-term electrical energy consumption. Most energy consumption methods work well for their case study datasets. The proposed method utilizes a cloud computing platform that allows for integrating information from different sources, such as...

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Bibliographic Details
Main Authors: Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj, Emma E. Regentova
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Forecasting
Subjects:
IoT
cloud computing
machine learning
feature selection
electrical load prediction
power systems
Online Access:https://www.mdpi.com/2571-9394/7/2/25
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