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1. Research Progress and Prospect of Condition Assessment Techniques for Oil–Paper Insulation Used in Power Systems: A Review.

2. Comparison of Different Features and Neural Networks for Predicting Industrial Paper Press Condition.

3. Application of Selected Machine Learning Techniques for Identification of Basic Classes of Partial Discharges Occurring in Paper-Oil Insulation Measured by Acoustic Emission Technique.

4. Dielectric Insulation in Medium- and High-Voltage Power Equipment—Degradation and Failure Mechanism, Diagnostics, and Electrical Parameters Improvement.

5. Non-Intrusive Load Monitoring Based on Multiscale Attention Mechanisms.

6. A Review of Peer-to-Peer Energy Trading Markets: Enabling Models and Technologies.

7. Artificial Intelligence for Energy Theft Detection in Distribution Networks.

8. Optimization of Practicality for Modeling- and Machine Learning-Based Framework for Early Fault Detection of Induction Motors.

9. A Productivity Prediction Method of Fracture-Vuggy Reservoirs Based on the PSO-BP Neural Network.

10. Analysis of a Grid-Connected Solar PV System with Battery Energy Storage for Irregular Load Profile.

11. Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization.

12. Quantifying Emissions in Vehicles Equipped with Energy-Saving Start–Stop Technology: THC and NOx Modeling Insights.

13. Comparison of Artificial Intelligence and Machine Learning Methods Used in Electric Power System Operation.

14. A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods.

15. Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources.

16. Artificial Intelligence and Machine Learning in Energy Conversion and Management.

17. Deriving Input Variables through Applied Machine Learning for Short-Term Electric Load Forecasting in Eskilstuna, Sweden †.

18. Development of a Genetic Algorithm-Based Control Strategy for Fuel Consumption Optimization in a Mild Hybrid Electrified Vehicle's Electrified Propulsion System.

19. Technical Language Processing of Nuclear Power Plants Equipment Reliability Data.

20. Multi-Objective Optimization Strategy for Fuel Cell Hybrid Electric Trucks Based on Driving Patern Recognition.

21. Deep Learning Algorithm for Solving Interval of Weight Coefficient of Wind–Thermal–Storage System.

22. Stacked Ensemble Regression Model for Prediction of Furan.

23. Artificial Intelligence in Photovoltaic Fault Identification and Diagnosis: A Systematic Review.

24. Condition Monitoring Method for the Gearboxes of Offshore Wind Turbines Based on Oil Temperature Prediction.

25. Load Forecasting Techniques and Their Applications in Smart Grids.

26. Landfill Waste Segregation Using Transfer and Ensemble Machine Learning: A Convolutional Neural Network Approach.

27. Optimal Power Flow in Distribution Network: A Review on Problem Formulation and Optimization Methods †.

28. Comparison and Enhancement of Machine Learning Algorithms for Wind Turbine Output Prediction with Insufficient Data.

29. A Review for Green Energy Machine Learning and AI Services.

30. Research on Online Temperature Prediction Method for Office Building Interiors Based on Data Mining.

31. Deep-Learning-Based Detection of Transmission Line Insulators.

32. Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review.

33. Review of Energy-Related Machine Learning Applications in Drying Processes.

34. Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review.

35. Time Reversal vs. Integration of Time Reversal with Convolution Neural Network in Diagnosing Partial Discharge in Power Transformer.

36. Manifold Learning in Electric Power System Transient Stability Analysis.

37. Estimation of Underground MV Network Failure Types by Applying Machine Learning Methods to Indirect Observations.

38. UAV Inspections of Power Transmission Networks with AI Technology: A Case Study of Lesvos Island in Greece.

39. Advancing Renewable Energy Forecasting: A Comprehensive Review of Renewable Energy Forecasting Methods.

40. Forecasting Electric Vehicles' Charging Behavior at Charging Stations: A Data Science-Based Approach.

41. Addressing Data Scarcity in Solar Energy Prediction with Machine Learning and Augmentation Techniques.

42. Can Economic, Geopolitical and Energy Uncertainty Indices Predict Bitcoin Energy Consumption? New Evidence from a Machine Learning Approach.

43. Exploring the Relationship and Predictive Accuracy for the Tadawul All Share Index, Oil Prices, and Bitcoin Using Copulas and Machine Learning.

44. Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability.

45. Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review.

46. Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland.

47. Neuro-Fuzzy Framework for Fault Prediction in Electrical Machines via Vibration Analysis.

48. Enhancing Injectivity in Lithuanian Hydrocarbon Reservoirs through Wettability-Altering Surfactant Injection.

49. Novel Machine Learning Control for Power Management Using an Instantaneous Reference Current in Multiple-Source-Fed Electric Vehicles.

50. Research on Bearing Fault Identification of Wind Turbines' Transmission System Based on Wavelet Packet Decomposition and Probabilistic Neural Network.