Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach

Joint planning of distributed generations and energy storage in active distribution networks: A Bi-Level programming approach

(2022) Yang Li et al.   ENERGY

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

(2022) Yang Li et al.   IEEE Transactions on Smart Grid

Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading

(2022) Yang Li et al.   Journal of Cleaner Production

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks

(2022) Parul Arora et al.   IEEE Transactions on Industrial Informatics

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

(2021) Xiaolei Liu et al.   ENERGY

Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game

(2021) Yang Li et al.   APPLIED ENERGY

A Deep-Learning intelligent system incorporating data augmentation for Short-Term voltage stability assessment of power systems

(2021) Yang Li et al.   APPLIED ENERGY

A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting

(2021) Wenyu Zhang et al.   ENERGY

Optimal Scheduling of Isolated Microgrids Using Automated Reinforcement Learning-Based Multi-Period Forecasting

(2021) Yang Li et al.   IEEE Transactions on Sustainable Energy

Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach

(2021) Yang Li et al.   IEEE Transactions on Industrial Informatics

Optimal Scheduling of Integrated Demand Response-Enabled Community-Integrated Energy Systems in Uncertain Environments

(2021) Yang Li et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Federated Learning: Challenges, Methods, and Future Directions

(2020) Tian Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

(2020) Yi Liu et al.   IEEE Internet of Things Journal

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

A Distributed Approach for Wind Power Probabilistic Forecasting Considering Spatio-Temporal Correlation Without Direct Access to Off-Site Information

(2018) Yao Zhang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

(2018) Yang Li et al.   ENERGY

Deep belief network based k-means cluster approach for short-term wind power forecasting

(2018) Kejun Wang et al.   ENERGY

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

(2018) Yang Li et al.   APPLIED ENERGY

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

(2017) Mahdi Khodayar et al.   IEEE Transactions on Industrial Informatics

Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning

(2017) Tao Zhang et al.   IEEE Transactions on Information Forensics and Security

A novel bidirectional mechanism based on time series model for wind power forecasting

(2016) Yongning Zhao et al.   APPLIED ENERGY

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Short-Term Wind Speed or Power Forecasting With Heteroscedastic Support Vector Regression

(2016) Qinghua Hu et al.   IEEE Transactions on Sustainable Energy

Multistage Wind-Electric Power Forecast by Using a Combination of Advanced Statistical Methods

(2015) Serkan Buhan et al.   IEEE Transactions on Industrial Informatics

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Towards Privacy Protection in Smart Grid

(2012) Sherali Zeadally et al.   WIRELESS PERSONAL COMMUNICATIONS