Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response

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

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

(2022) Yang Li et al.   APPLIED ENERGY

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

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

A Novel Model-Free Deep Reinforcement Learning Framework for Energy Management of a PV Integrated Energy Hub

(2022) Amirhossein Dolatabadi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Two-stage Optimal Operation of Integrated Energy System Considering Multiple Uncertainties and Integrated Demand Response

(2021) Peng Li et al.   ENERGY

Sustainable renewable energy supply networks optimization – The gradual transition to a renewable energy system within the European Union by 2050

(2021) Sanja Potrč et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Interpolating high granularity solar generation and load consumption data using super resolution generative adversarial network

(2021) Rui Tang et al.   APPLIED ENERGY

Coordinating Distributed Energy Resources and Utility-Scale Battery Energy Storage System for Power Flexibility Provision Under Uncertainty

(2021) Mohsen Kalantar-Neyestanaki et al.   IEEE Transactions on Sustainable Energy

Coordinating Flexible Demand Response and Renewable Uncertainties for Scheduling of Community Integrated Energy Systems With an Electric Vehicle Charging Station: A Bi-Level Approach

(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

Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

(2020) Yang Li et al.   ENERGY CONVERSION AND MANAGEMENT

Real-Time Stochastic Optimization of Energy Storage Management Using Deep Learning-Based Forecasts for Residential PV Applications

(2020) Faeza Hafiz et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response

(2020) Yongli Wang et al.   ENERGY

Development of an integrated energy system for smart communities

(2020) Azzam Abu-Rayash et al.   ENERGY

Robust stochastic optimal dispatching method of multi-energy virtual power plant considering multiple uncertainties

(2020) Xiangyu Kong et al.   APPLIED ENERGY

Stochastic optimization of integrated energy system considering network dynamic characteristics and psychological preference

(2020) Junjie Zhong et al.   JOURNAL OF CLEANER PRODUCTION

Stochastic optimal operation model for a distributed integrated energy system based on multiple-scenario simulations

(2020) Fei Mei et al.   ENERGY

The potential of power-to-heat demand response to improve the flexibility of the energy system: An empirical review

(2020) Vladimir Z. Gjorgievski et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network

(2020) Hamidreza Jahangir et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Model predictive control based robust scheduling of community integrated energy system with operational flexibility

(2019) Chaoxian Lv et al.   APPLIED ENERGY

Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network

(2019) Yufan Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A robust optimization approach for integrated community energy system in energy and ancillary service markets

(2018) Yizhou Zhou et al.   ENERGY

Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties

(2018) Yang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Distributionally Robust Optimization Model for Unit Commitment Based on Kullback-Leibler Divergence

(2018) Yuwei Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Distributionally Robust Chance-Constrained MILP Model for Multistage Distribution System Planning with Uncertain Renewables and Loads

(2018) Alireza Zare et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Agent-Based Modeling of Retail Electrical Energy Markets With Demand Response

(2018) Kaveh Dehghanpour et al.   IEEE Transactions on Smart Grid

Distributionally Robust Chance-Constrained Energy Management for Islanded Microgrids

(2018) Zhichao Shi et al.   IEEE Transactions on Smart Grid

Optimal Stochastic Operation of Integrated Low-Carbon Electric Power, Natural Gas, and Heat Delivery System

(2018) Yong Li et al.   IEEE Transactions on Sustainable Energy

Day-Ahead Dispatch of Integrated Electricity and Natural Gas System Considering Reserve Scheduling and Renewable Uncertainties

(2018) Fan Liu et al.   IEEE Transactions on Sustainable Energy

Security-Constrained Multi-Period Economic Dispatch with Renewable Energy Utilizing Distributionally Robust Optimization

(2018) Xi Lu et al.   IEEE Transactions on Sustainable Energy

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

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

Data-Based Distributionally Robust Stochastic Optimal Power Flow—Part I: Methodologies

(2018) Yi Guo et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Multistage Robust Unit Commitment With Dynamic Uncertainty Sets and Energy Storage

(2017) Alvaro Lorca et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Data-Driven Stochastic Unit Commitment for Integrating Wind Generation

(2016) Chaoyue Zhao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS