Physical-model-free intelligent energy management for a grid-connected hybrid wind-microturbine-PV-EV energy system via deep reinforcement learning approach

Nuclear power and renewable energy are both associated with national decarbonization

(2022) Harrison Fell et al.   Nature Energy

Economic predictive control for isolated microgrids based on real world demand/renewable energy data and forecast errors

(2022) J.M. Manzano et al.   RENEWABLE ENERGY

Exploring the impact of green energy and consumption on the sustainability of natural resources: Empirical evidence from G7 countries

(2022) Ka Yin Chau et al.   RENEWABLE ENERGY

A genetic algorithm optimization approach for smart energy management of microgrids

(2022) Ramin Torkan et al.   RENEWABLE ENERGY

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

(2021) I.L.R. Gomes et al.   ENERGY

Techno-economic assessment of photovoltaic power generation mounted on cooling towers

(2021) Lingfei Qi et al.   ENERGY CONVERSION AND MANAGEMENT

Look-ahead risk-constrained scheduling for an energy hub integrated with renewable energy

(2021) Xiao Xu et al.   APPLIED ENERGY

Soft actor-critic –based multi-objective optimized energy conversion and management strategy for integrated energy systems with renewable energy

(2021) Bin Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

The benefits of sharing in off-grid microgrids: A case study in the Philippines

(2021) Giulio Prevedello et al.   APPLIED ENERGY

Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning

(2021) Di Cao et al.   APPLIED ENERGY

Model-predictive control and reinforcement learning in multi-energy system case studies

(2021) Glenn Ceusters et al.   APPLIED ENERGY

Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm

(2021) Xizheng Zhang et al.   APPLIED ENERGY

Distributionally robust day-ahead scheduling of park-level integrated energy system considering generalized energy storages

(2021) Changming Chen et al.   APPLIED ENERGY

Optimization of the Operation and Maintenance of renewable energy systems by Deep Reinforcement Learning

(2021) Luca Pinciroli et al.   RENEWABLE ENERGY

Design and optimal energy management of community microgrids with flexible renewable energy sources

(2021) Nikita Tomin et al.   RENEWABLE ENERGY

A novel deep reinforcement learning enabled sparsity promoting adaptive control method to improve the stability of power systems with wind energy penetration

(2021) Guozhou Zhang et al.   RENEWABLE ENERGY

Physics-informed deep learning model in wind turbine response prediction

(2021) Xuan Li et al.   RENEWABLE ENERGY

Optimal sizing and deployment of gravity energy storage system in hybrid PV-Wind power plant

(2021) Anisa Emrani et al.   RENEWABLE ENERGY

Prioritized Replay Dueling DDQN Based Grid-Edge Control of Community Energy Storage System

(2021) Hang Song et al.   IEEE Transactions on Smart Grid

Mechanism Analysis and Real-time Control of Energy Storage Based Grid Power Oscillation Damping: A Soft Actor-Critic Approach

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

New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island

(2020) Wei-Chang Yeh et al.   APPLIED ENERGY

Exploring electricity generation alternatives for Canadian Arctic communities using a multi-objective genetic algorithm approach

(2020) Marvin Rhey Quitoras et al.   ENERGY CONVERSION AND MANAGEMENT

Distributed online learning and dynamic robust standby dispatch for networked microgrids

(2020) Ran Hao et al.   APPLIED ENERGY

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

Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

(2020) Ioannis Antonopoulos et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-driven optimal energy management for a wind-solar-diesel-battery-reverse osmosis hybrid energy system using a deep reinforcement learning approach

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

Optimal operation of water-energy microgrids; a mixed integer linear programming formulation

(2020) Faegheh Moazeni et al.   JOURNAL OF CLEANER PRODUCTION

Generalized Risk-Sensitive Optimal Control and Hamilton–Jacobi–Bellman Equation

(2020) Jun Moon   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Novel Data-Driven Approach Based on Capsule Network for Intelligent Multi-Fault Detection in Electric Motors

(2020) Jianjun Chen et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Modified PSO algorithm for real-time energy management in grid-connected microgrids

(2019) Md Alamgir Hossain et al.   RENEWABLE ENERGY

Optimal energy management strategies for energy Internet via deep reinforcement learning approach

(2019) Haochen Hua et al.   APPLIED ENERGY

Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation

(2019) Kailong Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A two-stage linear programming optimization framework for isolated hybrid microgrids in a rural context: The case study of the “El Espino” community

(2019) Sergio Balderrama et al.   ENERGY

Deep reinforcement learning–based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy

(2019) Bin Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning

(2019) Yan Du et al.   IEEE Transactions on Smart Grid

Approximate Policy-Based Accelerated Deep Reinforcement Learning

(2019) Xuesong Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

(2018) Jingda Wu et al.   APPLIED ENERGY

On-line Building Energy Optimization using Deep Reinforcement Learning

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

Optimal Operation of Droop-Controlled Islanded Microgrids

(2018) Avirup Maulik et al.   IEEE Transactions on Sustainable Energy

Dynamic Energy Management of a Microgrid using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning

(2018) Peng Zeng et al.   IEEE Transactions on Smart Grid

Power dispatch assessment of a wind farm and a hydropower plant: A case study in Argentina

(2018) Luis Ignacio Levieux et al.   ENERGY CONVERSION AND MANAGEMENT

Techno-economic optimization and environmental Life Cycle Assessment (LCA) of microgrids located in the US using genetic algorithm

(2018) Prashant Nagapurkar et al.   ENERGY CONVERSION AND MANAGEMENT

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Regression Models for Forecasting Global Oil Production

(2015) G. Aydin   PETROLEUM SCIENCE AND TECHNOLOGY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer

(2014) Rosemarie Velik et al.   APPLIED ENERGY