Showing 1–20 of 22 results
/ Date/ Name
Nov 19, 2020Quantum Ciphertext Dimension Reduction Scheme for Homomorphic Encrypted DataNov 9, 2020Quantum k-means algorithm based on Trusted server in Quantum Cloud ComputingNov 14, 2024Information upper bounds in composite quantum systemsNov 25, 2020Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art TechniquesDec 20, 2023Joint Trading and Scheduling among Coupled Carbon-Electricity-Heat-Gas Industrial ClustersMar 5, 2025On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and AlgorithmMay 4, 2021A Distributionally Robust Self-Scheduling Under Price Uncertainty Based on CVaRJun 18, 2016A Novel Projected Two Binary Variables Formulation for Unit Commitment ProblemMay 11, 2024Large Language Model-aided Edge Learning in Distribution System State EstimationJul 30, 2019A Center-Point Algorithm for Unit Commitment with Carbon Emission TradingOct 20, 2023Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage SystemsMar 2, 2018Response and phase transition of a Kitaev spin liquid in a local magnetic fieldApr 30, 2024Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against CyberattacksMar 22, 2024On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)Aug 24, 2025ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data ImputationDec 16, 2021Multiple-Periods Locally-Facet-Based MIP Formulations for the Unit Commitment ProblemJan 28, 2024Framework of Resilient Transmission Network Reconfiguration Considering Cyber-AttacksOct 12, 2023Privacy-Preserved Aggregate Thermal Dynamic Model of BuildingsSep 2, 2022Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning ApproachOct 30, 2024EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection