Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems

Grzegorz Dudek; Marcin Blachnik

doi:10.3390/en19030768

February 2, 2026EnergiesOpen Access

Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems

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Key Points

The central aim is to explore how AI and machine learning can enhance forecasting, optimization, and control in energy systems.
Review of existing AI and machine learning models
Analysis of their applications in energy systems
Evaluation of effectiveness in forecasting and optimization
AI and machine learning significantly improve the accuracy of energy demand forecasting.
Optimization models reduce energy consumption and costs.
Control mechanisms enhance integration of renewable energy sources into energy systems.

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Implication

Research demonstrates the use of AI and machine learning to optimize energy systems, suggesting significant potential for decarbonization and efficiency.

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Cite This Study

Dudek et al. (2026) studied this question.

synapsesocial.com/papers/6984346ff1d9ada3c1fb2910 https://doi.org/10.3390/en19030768

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Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

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