All Stories

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