Safe Deep Reinforcement Learning for Microgrid Energy Management in Distribution Networks With Leveraged Spatial–Temporal Perception

A Bi-level Framework for Supply and Demand Side Energy Management in an Islanded Microgrid

(2022) Sarah Mostafa Azzam et al.   IEEE Transactions on Industrial Informatics

Model-augmented safe reinforcement learning for Volt-VAR control in power distribution networks

(2022) Yuanqi Gao et al.   APPLIED ENERGY

A novel deep-learning based surrogate modeling of stochastic electric vehicle traffic user equilibrium in low-carbon electricity–transportation nexus

(2022) Quan Yuan et al.   APPLIED ENERGY

Integrating model-driven and data-driven methods for fast state estimation

(2022) Zhong Wu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Optimal Charge/Discharge Scheduling for Batteries in Energy Router-Based Microgrids of Prosumers via Peer-to-Peer Trading

(2022) Bo Gu et al.   IEEE Transactions on Sustainable Energy

Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method

(2022) Fei Wang et al.   APPLIED ENERGY

An Assessment of Multistage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management

(2022) Hui Hwang Goh et al.   IEEE Transactions on Smart Grid

Surrogate model enabled deep reinforcement learning for hybrid energy community operation

(2021) Xiaodi Wang et al.   APPLIED ENERGY

Graph Convolutional Network-Based Topology Embedded Deep Reinforcement Learning for Voltage Stability Control

(2021) Ramij R. Hossain et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Review of Deep Reinforcement Learning for Smart Building Energy Management

(2021) Liang Yu et al.   IEEE Internet of Things Journal

Real-time optimal energy management of microgrid with uncertainties based on deep reinforcement learning

(2021) Chenyu Guo et al.   ENERGY

Accelerated Derivative-Free Deep Reinforcement Learning for Large-Scale Grid Emergency Voltage Control

(2021) Renke Huang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Scalable Privacy-Preserving Multi-Agent Deep Reinforcement Learning Approach for Large-Scale Peer-to-Peer Transactive Energy Trading

(2021) Yujian Ye et al.   IEEE Transactions on Smart Grid

Application status and development trends for intelligent perception of distribution network

(2021) Yingjie Yan et al.   High Voltage

Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs

(2021) Panagiotis Andrianesis et al.   IEEE Transactions on Smart Grid

Safe deep reinforcement learning-based constrained optimal control scheme for active distribution networks

(2020) Peng Kou et al.   APPLIED ENERGY

Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning

(2020) Yujian Ye et al.   IEEE Transactions on Smart Grid

A Deep Reinforcement Learning Method for Pricing Electric Vehicles With Discrete Charging Levels

(2020) Dawei Qiu et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A short-term voltage stability online prediction method based on graph convolutional networks and long short-term memory networks

(2020) Guoteng Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids

(2020) Qianzhi Zhang et al.   IEEE Transactions on Smart Grid

Dynamic Energy Dispatch Based on Deep Reinforcement Learning in IoT-Driven Smart Isolated Microgrids

(2020) Lei Lei et al.   IEEE Internet of Things Journal

A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty

(2019) Wen Song et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

A Learning-Based Power Management Method for Networked Microgrids Under Incomplete Information

(2019) Qianzhi Zhang et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for Strategic Bidding in Electricity Markets

(2019) Yujian Ye et al.   IEEE Transactions on Smart Grid

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning

(2019) Hepeng Li et al.   IEEE Transactions on Smart Grid

Centralized Stochastic Energy Management Framework of an Aggregator in Active Distribution Network

(2018) Bala Sai Kiran Patnam et al.   IEEE Transactions on Industrial Informatics

Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid

(2018) Elham Foruzan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders

(2018) K. P. Schneider et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Robust Optimization Approach for Demand Side Scheduling Considering Uncertainty of Manually Operated Appliances

(2018) Yuefang F. Du et al.   IEEE Transactions on Smart Grid

Stochastic Networked Microgrid Energy Management With Correlated Wind Generators

(2017) Ahmad Reza Malekpour et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

AC OPF for Smart Distribution Networks: An Efficient and Robust Quadratic Approach

(2017) John Franco et al.   IEEE Transactions on Smart Grid

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Situation awareness in power systems: Theory, challenges and applications

(2015) Mathaios Panteli et al.   ELECTRIC POWER SYSTEMS RESEARCH

Microgrids: Enhancing the Resilience of the European Megagrid

(2015) Goran Strbac et al.   IEEE Power & Energy Magazine

Theory and Applications of Robust Optimization

(2011) Dimitris Bertsimas et al.   SIAM REVIEW