Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market

Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market

This study investigates the use of automated machine learning to forecast the demand of electrical loads. A stochastic optimization algorithm minimizes the cost and risk of the traded asset across different markets using a generic framework for trading activities of load portfolios. Assuming an alwa...

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Bibliographic Details
Main Authors: Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
ensemble-based model
automated machine learning
hyperparameter optimization
load forecasting
Online Access:https://www.mdpi.com/2076-3417/14/21/9766
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