相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Short-term building occupancy prediction based on deep forest with multi-order transition probability
Yaping Zhou et al.
ENERGY AND BUILDINGS (2022)
Design optimization of fuzzy controllers in building structures using the crystal structure algorithm (CryStAl)
Mahdi Azizi et al.
ADVANCED ENGINEERING INFORMATICS (2022)
DDPG-Based Adaptive Robust Tracking Control for Aerial Manipulators With Decoupling Approach
Yen-Chen Liu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2022)
Exploration in deep reinforcement learning: A survey
Pawel Ladosz et al.
INFORMATION FUSION (2022)
Data-driven district energy management with surrogate models and deep reinforcement learning
Giuseppe Pinto et al.
APPLIED ENERGY (2021)
A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting
Wenyu Zhang et al.
ENERGY (2021)
Systematic review on model predictive control strategies applied to active thermal energy storage systems
Joan Tarragona et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Study on deep reinforcement learning techniques for building energy consumption forecasting
Tao Liu et al.
ENERGY AND BUILDINGS (2020)
Short-Term Load Forecasting Algorithm Using a Similar Day Selection Method Based on Reinforcement Learning
Rae-Jun Park et al.
ENERGIES (2020)
LSTM based long-term energy consumption prediction with periodicity
Jian Qi Wang et al.
ENERGY (2020)
Energy Management of Smart Home with Home Appliances, Energy Storage System and Electric Vehicle: A Hierarchical Deep Reinforcement Learning Approach
Sangyoon Lee et al.
SENSORS (2020)
Q-Learning: Theory and Applications
Jesse Clifton et al.
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 7, 2020 (2020)
An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling
R. Rueda et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model
Jun Cao et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Actor-Critic Reinforcement Learning for Control With Stability Guarantee
Minghao Han et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion
Siddhant Gangapurwala et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2020)
Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm
Jonathan Reynolds et al.
APPLIED ENERGY (2019)
A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction
Tao Liu et al.
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID (2019)
Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review
Jason Runge et al.
ENERGIES (2019)
Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances
Sangyoon Lee et al.
SENSORS (2019)
Demo Abstract: CityLearn v1.0-An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning
Jose R. Vazquez-Canteli et al.
BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)
Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
Aowabin Rahman et al.
APPLIED ENERGY (2018)
Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings
Eric O'Shaughnessy et al.
APPLIED ENERGY (2018)
Random Forest based hourly building energy prediction
Zeyu Wang et al.
ENERGY AND BUILDINGS (2018)
Fast learning optimiser for real-time optimal energy management of a grid-connected microgrid
Zhukui Tan et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2018)
A short-term building cooling load prediction method using deep learning algorithms
Cheng Fan et al.
APPLIED ENERGY (2017)
Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response
Brecht Baeten et al.
APPLIED ENERGY (2017)
A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential Photovoltaic Power Generation and Energy Storage Systems
Yanzhi Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2016)
Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system
Faeze Brahman et al.
ENERGY AND BUILDINGS (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)