All Stories

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