All Stories

  1. Making Gravity Energy Storage More Efficient and Flexible for Renewable Power Systems
  2. Improving Transformer Fault Diagnosis with AI and Signal Analysis
  3. Smarter Scheduling for Hydrogen-Powered Data Centers under Uncertainty
  4. Privacy-Safe EV Charging Load Forecasting with Blockchain and Federated Learning
  5. AI Coordination for More Resilient Critical Infrastructure Systems
  6. Quantum-Powered AI for Safer Power Grid Stability Predictions
  7. How 5G Networks and Smart Energy Systems Can Work Together for Greener Operations
  8. Long-Term Smart Coordination for Electricity-Hydrogen Charging Stations
  9. How to Coordinate Multiple Microgrids Efficiently under Delays and Uncertainty
  10. Adaptive Damping Control for Wind Power Systems under Uncertain Wind Speeds
  11. Improving Solar Power Forecasting Using Global Weather Data
  12. Making Renewable Power Forecasts More Reliable under Changing Weather
  13. Safe and Self-Tuning AI for Smarter Energy System Scheduling
  14. Detecting and Locating Hidden Cyberattacks in Power Grids with Semi-Supervised Deep Learning
  15. Smarter Wind Forecasts with AI-Powered Diffusion Models
  16. AI-Powered Approach to Boost Power System Stability Amid Cyber Threats
  17. Smarter Power Sharing Between 5G Base Stations and Industrial Parks
  18. Smarter Federated Reinforcement Learning with Less Communication Overhead
  19. Explainable Multi-Task AI for Predicting EV Charging Demand
  20. Cyber-Resilient Integrated Energy Scheduling via Deep Reinforcement Learning
  21. Secure Wind Power Forecasting with Federated Graph Learning
  22. SCKF-LSTM Trajectory Tracking for Electricity–Gas Systems
  23. State Estimation for Integrated Energy Systems: Challenges, Advances, and Future Directions
  24. Safe Microgrid Management via Lyapunov-Based Reinforcement Learning
  25. Efficient Microgrid Operations for Hydrogen Data Centers
  26. Physics-Inspired Deep RL for Smarter Microgrid Scheduling
  27. Smarter Power Grid Control with Physics-Guided Deep Learning
  28. Optimizing Hydrogen-Powered Data Centers for Green and Reliable Electricity Use
  29. Privacy-Protected AI for Fixing Missing Wind Power Data Using Trust-Free Collaboration
  30. Making Microgrids More Resilient with Safer AI Decision-Making
  31. Predicting Power Demand and Prices Using a Unified Deep Learning Model
  32. Smarter Grid Reconfiguration with Deep Reinforcement Learning
  33. Deep Time Series Aggregation for Extracting Operating Scenarios in New Power Systems
  34. Localization of dummy data injection attacks in power systems considering incomplete topological information: A spatio-temporal graph wavelet convolutional neural network approach
  35. Enhancing envrionmental sustainability via interval optimization for low-carbon economic dispatch in renewable energy power systems: Leveraging the flexible cooperation of wind energy and carbon capture power plants
  36. Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
  37. Boosting Learning Efficiency with a Smarter Way to Handle Uncertainty
  38. Collaborative optimization of multi-microgrids system with shared energy storage based on multi-agent stochastic game and reinforcement learning
  39. Control for High-Power DC Supply to Minimize Voltage Issues
  40. Editorial: Rising stars in energy research: 2022
  41. Demand response method considering multiple types of flexible loads in industrial parks
  42. Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
  43. New method for efficient management of integrated energy systems with renewables
  44. Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
  45. Using Advanced Machine Learning to Assess Short-Term Voltage Stability Based on PMU Measurements
  46. Making the Most of Renewable Energy in Power Systems While Keeping Them Safe and Economical
  47. Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams
  48. Harnessing Collective Learning to Microgrids More Efficiently Without Risking Data Security
  49. Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
  50. Data encryption based on a 9D complex chaotic system with quaternion for smart grid
  51. Teamwork Between Data Centers and Hydrogen Storage to Smartly Use Extra Green Energy
  52. Balancing Low-Carbon Energy Systems Using Small Nuclear Units and Carbon Trading
  53. Defending Smart Grids from Cyber Attacks with Secure Learning
  54. Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach
  55. A BCS-GDE multi-objective optimization algorithm for combined cooling, heating and power model with decision strategies
  56. Probabilistic load flow calculation of AC/DC hybrid system based on cumulant method
  57. A robust approach for the decomposition of high-energy-consuming industrial loads with deep learning
  58. Multi-Source Data Processing and Fusion Method for Power Distribution Internet of Things Based on Edge Intelligence
  59. Planning for Distributing Renewable Energy and Storage in Active Networks
  60. A deep-Learning intelligent system incorporating data augmentation for STVS assessment
  61. Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
  62. Editorial: New Solutions for Smart Grids With High-Penetration Distributed Energy Resources
  63. scheduling of demand response-enabled microgrids via an analytical-heuristic approach
  64. energy optimization strategy in smart buildings
  65. Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach
  66. Balancing Microgrid Frequency with Smart Loads and Virtual Inertia
  67. Frequency support scheme based on parametrized power curve for de-loaded wind turbine under various wind speed
  68. A Stackelberg game-based scheduling framework for integrated energy systems
  69. cyber and physical data fusion for detecting attacks on a Cyber-Physical Power System
  70. Robust Kalman filter-based dynamic state estimation of natural gas pipeline networks
  71. A Deep Learning Approach for Assessing Short-Term Voltage Stability of Power Systems
  72. Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems
  73. Leveraging federated learning for renewable scenario generation
  74. Scheduling of Community Integrated Energy Systems with an Electric Vehicle Charging Station
  75. Editorial: Enabling High-Penetration Renewable Integration Into a Smarter Grid
  76. A Mini-Review on High-Penetration Renewable Integration Into a Smarter Grid
  77. Analyzing the co-evolution of green technology diffusion and consumers’ pro-environmental attitudes: An agent-based model
  78. Indicator & crowding distance-based evolutionary algorithm for combined heat and power economic emission dispatch
  79. Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An agent-based model
  80. Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings
  81. Non-Intrusive Appliance Identification with Appliance-Specific Networks
  82. Power Cyber-Physical System Risk Area Prediction Using Dependent Markov Chain and Improved Grey Wolf Optimization
  83. Method for Extracting Patterns of Coordinated Network Attacks on Electric Power CPS Based on Temporal–Topological Correlation
  84. Multi-Objective Optimal Reactive Power Dispatch of Power Systems by Combining Classification-Based Multi-Objective Evolutionary Algorithm and Integrated Decision Making
  85. Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering
  86. Survivability Evaluation Method for Cascading Failure of Electric Cyber Physical System Considering Load Optimal Allocation
  87. Optimisation and comprehensive evaluation of alternative energising paths for power system restoration
  88. Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties
  89. Multi-objective optimal dispatch of isolated microgrids
  90. Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines Under Unknown Measurement Noise Statistics
  91. Controlled Islanding for a Hybrid AC/DC Grid With VSC-HVDC Using Semi-Supervised Spectral Clustering
  92. Dynamic State Estimation of Generators Under Cyber Attacks
  93. Incorporating Demand Response of Electric Vehicles in Scheduling of Isolated Microgrids With Renewables Using a Bi-Level Programming Approach
  94. Two-Step Many-Objective Optimal Power Flow Based on Knee Point-Driven Evolutionary Algorithm
  95. Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing
  96. On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agent-Based Model
  97. A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making
  98. Online Static Security Assessment of Power Systems Based on Lasso Algorithm
  99. Social cognitive optimization with tent map for combined heat and power economic dispatch
  100. Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process
  101. Method for Quantitative Estimation of the Risk Propagation Threshold in Electric Power CPS Based on Seepage Probability
  102. Optimal distributed generation planning in active distribution networks considering integration of energy storage
  103. A two-stage multi-objective optimal power flow algorithm for hybrid AC/DC grids with VSC-HVDC
  104. The analysis of DC fault mode effects on MMC-HVDC system
  105. Optimized hierarchical power oscillations control for distributed generation under unbalanced conditions
  106. Application of EOS-ELM With Binary Jaya-Based Feature Selection to Real-Time Transient Stability Assessment Using PMU Data
  107. A Transient Fault Recognition Method for an AC-DC Hybrid Transmission System Based on MMC Information Fusion
  108. Application of Shannon Wavelet Entropy and Shannon Wavelet Packet Entropy in Analysis of Power System Transient Signals
  109. Multi-objective Optimization Operation Considering Environment Benefits and Economy Based on Ant Colony Optimization for Isolated Micro-grids
  110. Optimized Secondary Control for Distributed Generation under Unbalanced Conditions
  111. Determination of Optimal Opening Scheme for Electromagnetic Loop Networks Based on Fuzzy Analytic Hierarchy Process
  112. Rule Extraction Based on Extreme Learning Machine and an Improved Ant-Miner Algorithm for Transient Stability Assessment
  113. A Multifeature Fusion Approach for Power System Transient Stability Assessment Using PMU Data
  114. Feature selection for transient stability assessment based on kernelized fuzzy rough sets and memetic algorithm
  115. Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors
  116. Bayesian multiple kernels learning-based transient stability assessment of power systems using synchronized measurements
  117. Fault Diagnosis of Transformer Based on Quantum-Behaved Particle Swarm Optimization-Based Least Squares Support Vector Machines
  118. Single Phase Adaptive Reclosure of Transmission Lines Based on EMD Approximate Entropy and LS-SVM with BCC
  119. Short-Term Load Forecasting Based on LS-SVM Optimized by BCC Algorithm
  120. Comparison of Algorithms for an Electronic Nose in Identifying Liquors