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Innovative Framework for Accurate and Transparent Forecasting of Energy Consumption: A Fusion of Feature Selection and Interpretable Machine Learning
Hamidreza Eskandari, Hassan Saadatmand, Muhammad Ramzan, Mobina Mousapour Mamudan
Swansea University Shandong University University of Tehran
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学科主题
工程Energy Load and Power Forecasting
Energy, Environment, and Transportation Policies · Energy Efficiency and Management
参考文献 47
Theoretical and Empirical Analysis of ReliefF and RReliefF
被引 3,005Marko Robnik‐Šikonja, Igor Kononenko · Machine Learning · 2003
A Practical Approach to Feature Selection
被引 2,993Kenji Kira, Larry Rendell · Elsevier eBooks · 1992
Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model
被引 360Hsiao-Tien Pao, Hsin-Chia Fu, Cheng-Lung Tseng · Energy · 2012
此处列出前 3 条
施引文献 3
Explainable Artificial Intelligence for Urban Planning: Challenges, Solutions, and Future Trends from a New Perspective
被引 11Shan Tong, Shaokang Li · International Journal of Advanced Computer Science and Applications · 2024
Interpretable Artificial Intelligence Evolved Policies Applied in Renewable Energy Trading
被引 0Konstantinos Parginos, Ricardo J. Bessa, Simon Camal · SSRN Electronic Journal · 2024
Machine Learning and Band Ratios from Sentinel-2 to Estimate Water Quality in Madrid Reservoirs
被引 0Laura Cáceres, Jorge Rodríguez‐Chueca, David Vicente · SSRN Electronic Journal · 2025
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