Applications of reinforcement learning in energy systems

Introducing reinforcement learning to the energy system design process

(2020) A.T.D. Perera et al.   APPLIED ENERGY

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

Quantifying the impacts of climate change and extreme climate events on energy systems

(2020) A. T. D. Perera et al.   Nature Energy

Reinforcement learning for building controls: The opportunities and challenges

(2020) Zhe Wang et al.   APPLIED ENERGY

Integrated energy systems’ modeling studies for sub-Saharan Africa: A scoping review

(2020) Xavier S. Musonye et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

(2019) Lefeng Cheng et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control

(2019) Aitor Saenz-Aguirre et al.   Energies

Multi-agent reinforcement learning for modeling and control of thermostatically controlled loads

(2019) Hussain Kazmi et al.   APPLIED ENERGY

A reinforcement learning framework for optimal operation and maintenance of power grids

(2019) R. Rocchetta et al.   APPLIED ENERGY

Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement Learning Approach

(2019) Cao et al.   Energies

Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition

(2019) Xiaoshun Zhang et al.   ENERGY

Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus

(2019) Yuankai Wu et al.   APPLIED ENERGY

Real-Time Energy Management of a Microgrid Using Deep Reinforcement Learning

(2019) Ying Ji et al.   Energies

Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning

(2019) Zhiang Zhang et al.   ENERGY AND BUILDINGS

A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities

(2019) Dasaraden Mauree et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances

(2019) Sangyoon Lee et al.   SENSORS

A survey and critique of multiagent deep reinforcement learning

(2019) Pablo Hernandez-Leal et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

An integrated critic-actor neural network for reinforcement learning with application of DERs control in grid frequency regulation

(2019) Jian Sun et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle

(2019) Quan Zhou et al.   APPLIED ENERGY

Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050

(2019) Nahid Mohajeri et al.   RENEWABLE ENERGY

A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

(2018) Renzhi Lu et al.   APPLIED ENERGY

Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle

(2018) Rui Xiong et al.   APPLIED ENERGY

Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning

(2018) Teng Liu et al.   ENERGY

Optimal control of HVAC and window systems for natural ventilation through reinforcement learning

(2018) Yujiao Chen et al.   ENERGY AND BUILDINGS

Model-free control of thermostatically controlled loads connected to a district heating network

(2018) Bert J. Claessens et al.   ENERGY AND BUILDINGS

Mobility-Aware Vehicle-to-Grid Control Algorithm in Microgrids

(2018) Haneul Ko et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid

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

Intelligent energy management strategy based on hierarchical approximate global optimization for plug-in fuel cell hybrid electric vehicles

(2018) Jingni Yuan et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Reinforcement learning-based thermal comfort control for vehicle cabins

(2018) James Brusey et al.   MECHATRONICS

Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review

(2018) Alexander Buttler et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning

(2018) Weirong Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

On-line Building Energy Optimization using Deep Reinforcement Learning

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

Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice

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

A data-driven approach for multi-objective unit commitment under hybrid uncertainties

(2018) Min Zhou et al.   ENERGY

Residential Load Scheduling With Renewable Generation in the Smart Grid: A Reinforcement Learning Approach

(2018) Remani T et al.   IEEE Systems Journal

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

(2018) June Young Park et al.   BUILDING AND ENVIRONMENT

Automated Design of Energy Efficient Control Strategies for Building Clusters Using Reinforcement Learning

(2018) Philip Odonkor et al.   JOURNAL OF MECHANICAL DESIGN

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

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

(2018) Renzhi Lu et al.   APPLIED ENERGY

Optimizing legacy building operation: The evolution into data-driven predictive cyber-physical systems

(2017) Mischa Schmidt et al.   ENERGY AND BUILDINGS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration

(2017) Enrico Anderlini et al.   IEEE Transactions on Sustainable Energy

Multi-resolution Dynamic Programming for the Receding Horizon Control of Energy Storage

(2017) Khalid Abdulla et al.   IEEE Transactions on Sustainable Energy

A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems

(2017) et al.   Processes

Multiagent cooperation and competition with deep reinforcement learning

(2017) Ardi Tampuu et al.   PLoS One

Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

(2016) Yuan Zou et al.   APPLIED ENERGY

Reinforcement learning approach for congestion management and cascading failure prevention with experimental application

(2016) Sina Zarrabian et al.   ELECTRIC POWER SYSTEMS RESEARCH

Multiagent Stochastic Dynamic Game for Smart Generation Control

(2016) Tao Yu et al.   JOURNAL OF ENERGY ENGINEERING

Data-Driven Reinforcement Learning–Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles

(2016) Xuewei Qi et al.   TRANSPORTATION RESEARCH RECORD

Dynamic Energy Management System for a Smart Microgrid

(2016) Ganesh Kumar Venayagamoorthy et al.   IEEE Transactions on Neural Networks and Learning Systems

Heterogeneous Energy Storage Optimization for Microgrids

(2016) Xin Qiu et al.   IEEE Transactions on Smart Grid

Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning

(2016) Byung-Gook Kim et al.   IEEE Transactions on Smart Grid

A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential Photovoltaic Power Generation and Energy Storage Systems

(2016) Yanzhi Wang et al.   IEEE Transactions on Sustainable Energy

Multiagent Stochastic Dynamic Game for Smart Generation Control

(2016) Tao Yu et al.   JOURNAL OF ENERGY ENGINEERING

Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies

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

Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle

(2015) Teng Liu et al.   Energies

Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems

(2015) Chun Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle

(2015) Teng Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

(2015) T. Yu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Intelligent load frequency controller using GrADP for island smart grid with electric vehicles and renewable resources

(2015) Yufei Tang et al.   NEUROCOMPUTING

Balancing Energy in the Smart Grid Using Distributed Value Function (DVF)

(2015) Hassan Shirzeh et al.   IEEE Transactions on Smart Grid

Optimal Demand Response Using Device-Based Reinforcement Learning

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

Intelligent Decision-Making for Smart Home Energy Management

(2014) Heider Berlink et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems

(2013) A.T.D. Perera et al.   APPLIED ENERGY

Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission

(2013) A.T.D. Perera et al.   ENERGY

Learning policies for battery usage optimization in electric vehicles

(2013) Stefano Ermon et al.   MACHINE LEARNING

A reinforcement learning approach to autonomous decision-making in smart electricity markets

(2013) Markus Peters et al.   MACHINE LEARNING

Vulnerability of Smart Grids With Variable Generation and Consumption: A System of Systems Perspective

(2013) Enrico Zio et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Sensitivity of internal combustion generator capacity in standalone hybrid energy systems

(2012) A.T.D. Perera et al.   ENERGY

A review of urban energy system models: Approaches, challenges and opportunities

(2012) James Keirstead et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling Cyber–Physical Systems

(2011) P. Derler et al.   PROCEEDINGS OF THE IEEE

Cyber–Physical System Security for the Electric Power Grid

(2011) Siddharth Sridhar et al.   PROCEEDINGS OF THE IEEE

Paradigm shift in urban energy systems through distributed generation: Methods and models

(2010) Massimiliano Manfren et al.   APPLIED ENERGY

Online tuning of a supervisory fuzzy controller for low-energy building system using reinforcement learning

(2010) Zhen Yu et al.   CONTROL ENGINEERING PRACTICE

Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem

(2008) D. Ernst et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A Comprehensive Survey of Multiagent Reinforcement Learning

(2008) L. Busoniu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE