Safe reinforcement learning for real-time automatic control in a smart energy-hub

Surrogate model enabled deep reinforcement learning for hybrid energy community operation

(2021) Xiaodi Wang et al.   APPLIED ENERGY

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

(2021) Xiao Xu et al.   APPLIED ENERGY

Peer to peer transactive energy for multiple energy hub with the penetration of high-level renewable energy

(2021) Wei Gan et al.   APPLIED ENERGY

Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach

(2021) Dawei Qiu et al.   APPLIED ENERGY

Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation

(2021) Marina Dorokhova et al.   APPLIED ENERGY

Deep Reinforcement Learning Method for Demand Response Management of Interruptible Load

(2020) Biao Wang et al.   IEEE Transactions on Smart Grid

An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management

(2020) Clement Lork et al.   APPLIED ENERGY

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

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

Robust scheduling of hydrogen based smart micro energy hub with integrated demand response

(2020) Amin Mansour-Saatloo et al.   JOURNAL OF CLEANER PRODUCTION

Optimal emission management of photovoltaic and wind generation based energy hub system using compromise programming

(2020) Pei Miao et al.   JOURNAL OF CLEANER PRODUCTION

Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

(2020) Yan Du et al.   APPLIED ENERGY

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

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

Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

(2019) Minghui Min et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

(2019) Renzhi Lu et al.   IEEE Transactions on Smart Grid

Deep Reinforcement Learning for Smart Home Energy Management

(2019) Liang Yu et al.   IEEE Internet of Things Journal

Automatic and linearized modeling of energy hub and its flexibility analysis

(2018) Yi Wang et al.   APPLIED ENERGY

Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch

(2018) Yi Wang et al.   APPLIED ENERGY

A ‘Regional Energy Hub’ for achieving a low-carbon energy transition

(2018) Burak Guler et al.   ENERGY POLICY

Optimal management of energy hubs and smart energy hubs – A review

(2018) Mohammad Mohammadi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On-line Building Energy Optimization using Deep Reinforcement Learning

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

Analyzing and validating the economic efficiency of managing a cluster of energy hubs in multi-carrier energy systems

(2018) Yue Chen et al.   APPLIED ENERGY

Impact of carbon emission constraint on design of small scale multi-energy system

(2018) Ji Hyun Yi et al.   ENERGY

Whole-System Assessment of the Benefits of Integrated Electricity and Heat System

(2018) Xi Zhang et al.   IEEE Transactions on Smart Grid

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

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

Probabilistic individual load forecasting using pinball loss guided LSTM

(2018) Yi Wang et al.   APPLIED ENERGY

Generalised control-oriented modelling framework for multi-energy systems

(2018) Sebastian Long et al.   APPLIED ENERGY

Learning-Based Privacy-Aware Offloading for Healthcare IoT With Energy Harvesting

(2018) Minghui Min et al.   IEEE Internet of Things Journal

Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

(2018) Zhiqiang Wan et al.   IEEE Transactions on Smart Grid

A cost-emission framework for hub energy system under demand response program

(2017) Majid Majidi et al.   ENERGY

Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies

(2017) Mahdi Sharifzadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy hub: From a model to a concept – A review

(2017) Mohammad Mohammadi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Optimal Configuration Planning of Multi-Energy Systems Considering Distributed Renewable Energy

(2017) Wujing Huang et al.   IEEE Transactions on Smart Grid

Medium-term energy hub management subject to electricity price and wind uncertainty

(2016) Arsalan Najafi et al.   APPLIED ENERGY

Demand side management for a residential customer in multi-energy systems

(2016) Aras Sheikhi et al.   Sustainable Cities and Society

Integration of decentralized energy systems in neighbourhoods using the energy hub approach

(2015) Kristina Orehounig et al.   APPLIED ENERGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

MES (multi-energy systems): An overview of concepts and evaluation models

(2013) Pierluigi Mancarella   ENERGY

The impact of climate change on the European energy system

(2013) Paul Dowling   ENERGY POLICY