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

On the use of dynamic programming for optimal energy management of grid-connected reversible solid oxide cell-based renewable microgrids

(2021) F. Vitale et al.   ENERGY

A novel microgrid support management system based on stochastic mixed-integer linear programming

(2021) I.L.R. Gomes et al.   ENERGY

Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty

(2021) Jun Yang et al.   ENERGY

Coordinated energy management for a cluster of buildings through deep reinforcement learning

(2021) Giuseppe Pinto et al.   ENERGY

Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning

(2021) Ting Yang et al.   ENERGY

Lifelong control of off-grid microgrid with model-based reinforcement learning

(2021) Simone Totaro et al.   ENERGY

Modified deep learning and reinforcement learning for an incentive-based demand response model

(2020) Lulu Wen et al.   ENERGY

Deep reinforcement learning based energy management for a hybrid electric vehicle

(2020) Guodong Du et al.   ENERGY

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

(2020) Hui Liu et al.   ENERGY

A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing

(2020) J.J. Yang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Dynamic energy conversion and management strategy for an integrated electricity and natural gas system with renewable energy: Deep reinforcement learning approach

(2020) Bin Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Online Optimization for Networked Distributed Energy Resources With Time-Coupling Constraints

(2020) Shuai Fan et al.   IEEE Transactions on Smart Grid

Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid

(2019) Yan Zhang et al.   ENERGY

A battery management strategy in microgrid for personalized customer requirements

(2019) Pengzhan Chen et al.   ENERGY

Two-stage energy management for networked microgrids with high renewable penetration

(2018) Dongxiao Wang et al.   APPLIED ENERGY

A robust operation-based scheduling optimization for smart distribution networks with multi-microgrids

(2018) Yixin Liu et al.   APPLIED ENERGY

Bi-level Two-stage Robust Optimal Scheduling for AC/DC Hybrid Multi-microgrids

(2018) Haifeng Qiu et al.   IEEE Transactions on Smart Grid

On-line Building Energy Optimization using Deep Reinforcement Learning

(2018) Elena Mocanu et al.   IEEE Transactions on Smart Grid

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

(2018) Renzhi Lu et al.   APPLIED ENERGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Optimal Demand Response Using Device-Based Reinforcement Learning

(2015) Zheng Wen et al.   IEEE Transactions on Smart Grid

Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids

(2015) Nima Nikmehr et al.   IEEE Transactions on Smart Grid

A detailed MILP optimization model for combined cooling, heat and power system operation planning

(2014) Aldo Bischi et al.   ENERGY

A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market

(2013) B. Baykant Alagoz et al.   ENERGY

Reinforcement learning for microgrid energy management

(2013) Elizaveta Kuznetsova et al.   ENERGY