An Interpretable Model for the Prediction of Performance Parameters in Thermal Power Plants Utilizing Expert Knowledge and Machine Learning
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Publisher
Elsevier BV
Reference46 articles.
1. A comprehensive review on the development of data-driven methods for wind power prediction and AGC performance evaluation in wind-thermal bundled power systems;S Wang;Energy and AI,2024
2. Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review;W Strielkowski;Energies,2023
3. Dynamic energy system modeling using hybrid physics-based and machine learning encoder-decoder models;D Machalek;Energy and AI,2022
4. Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters;H Song;Applied Energy,2023
5. A review on basic data-driven approaches for industrial process monitoring;S Yin;IEEE Transactions on Industrial Electronics,2014
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