Operational optimization for off-grid renewable building energy system using deep reinforcement learning

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

(2022) Rodrigo Toro Icarte et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems

(2021) Neil McIlwaine et al.   ENERGY

Design and operation optimization of city-level off-grid hydro–photovoltaic complementary system

(2021) Bo Zhang et al.   APPLIED ENERGY

Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration

(2021) Yanxue Li et al.   ENERGY

Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply

(2021) Zia Ullah et al.   RENEWABLE ENERGY

Reinforcement learning for building controls: The opportunities and challenges

(2020) Zhe Wang 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

Cleaner production for achieving the sustainable development goals

(2020) B.F. Giannetti et al.   JOURNAL OF CLEANER PRODUCTION

Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria

(2020) Charafeddine Mokhtara et al.   ENERGY

A review of reinforcement learning for autonomous building energy management

(2019) Karl Mason et al.   COMPUTERS & ELECTRICAL ENGINEERING

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 reinforcement learning methodologies for controlling occupant comfort in buildings

(2019) Mengjie Han et al.   Sustainable Cities and Society

Uncertainty models for stochastic optimization in renewable energy applications

(2019) A. Zakaria et al.   RENEWABLE ENERGY

On-line Building Energy Optimization using Deep Reinforcement Learning

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

Simulation-Based Evaluation and Optimization of Control Strategies in Buildings

(2018) Georgios Kontes et al.   Energies

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

(2018) David Silver et al.   SCIENCE

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

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

Practical factors of envelope model setup and their effects on the performance of model predictive control for building heating, ventilating, and air conditioning systems

(2018) D.H. Blum et al.   APPLIED ENERGY

Deep transfer Q-learning with virtual leader-follower for supply-demand Stackelberg game of smart grid

(2017) Xiaoshun Zhang et al.   ENERGY

A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system

(2017) Monaaf D.A. Al-falahi et al.   ENERGY CONVERSION AND MANAGEMENT

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Multi-armed bandit problem with known trend

(2016) Djallel Bouneffouf et al.   NEUROCOMPUTING

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

Theories and methodology of complementary hydro/photovoltaic operation: Applications to short-term scheduling

(2015) Yuan An et al.   Journal of Renewable and Sustainable Energy

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data

(2015) Ruizhuo Song et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2010) Zhen Yu et al.   CONTROL ENGINEERING PRACTICE

Model predictive control of a building heating system: The first experience

(2010) Samuel Prívara et al.   ENERGY AND BUILDINGS