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An End-to-End Data and Machine Learning Pipeline for Energy Forecasting: A Systematic Approach Integrating MLOps and Domain Expertise

Energy forecasting is critical for modern power systems, enabling proactive grid control and efficient resource optimization. However, energy forecasting projects require systematic approaches that span project inception to model deployment while ensuring technical excellence, domain alignment, regu...

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Main Authors: Xun Zhao, Zheng Grace Ma, Bo Nørregaard Jørgensen
Format: Artigo
Language:Inglês
Published: MDPI AG 2025-09-01
Series:Information
Subjects:
energy forecasting framework
end-to-end machine learning pipeline
domain-expert integration
decision gate governance
MLOps for energy systems
data quality and provenance
Online Access:https://www.mdpi.com/2078-2489/16/9/805
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