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。Integrated optimization of the building envelope and the HVAC system in nZEB refurbishment
Boris Delac et al.
APPLIED THERMAL ENGINEERING (2022)
Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach
Ting Yang et al.
APPLIED ENERGY (2021)
A clustering-based approach for cross-scale load prediction on building level in HVAC systems
Wenqiang Li et al.
APPLIED ENERGY (2021)
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
Yan Du et al.
APPLIED ENERGY (2021)
An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems
Guannan Li et al.
BUILDING AND ENVIRONMENT (2021)
A hybrid deep transfer learning strategy for short term cross-building energy prediction
Xi Fang et al.
ENERGY (2021)
Data-driven building energy modeling with feature selection and active learning for data predictive control
Liang Zhang
ENERGY AND BUILDINGS (2021)
A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction
Xi Fang et al.
ENERGY AND BUILDINGS (2021)
Data-driven predictive control for unlocking building energy flexibility: A review
Anjukan Kathirgamanathan et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
A data-efficient goal-directed deep reinforcement learning method for robot visuomotor skill
Rong Jiang et al.
NEUROCOMPUTING (2021)
A real-time optimal control strategy for multi-zone VAV air-conditioning systems adopting a multi-agent based distributed optimization method
Wenzhuo Li et al.
APPLIED ENERGY (2021)
Experimental evaluation of model-free reinforcement learning algorithms for continuous HVAC control
Marco Biemann et al.
APPLIED ENERGY (2021)
Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques
Ghezlane Halhoul Merabet et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Hybrid autonomous controller for bipedal robot balance with deep reinforcement learning and pattern generators
Christos Kouppas et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2021)
Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network
Zhengbo Zou et al.
BUILDING AND ENVIRONMENT (2020)
Reinforcement learning for building controls: The opportunities and challenges
Zhe Wang et al.
APPLIED ENERGY (2020)
Modified deep learning and reinforcement learning for an incentive-based demand response model
Lulu Wen et al.
ENERGY (2020)
Model -free control method based on reinforcement learning for building cooling water systems: Validation by measured data-based simulation
Shunian Qiu et al.
ENERGY AND BUILDINGS (2020)
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
Silvio Brandi et al.
ENERGY AND BUILDINGS (2020)
Assessment of deep recurrent neural network-based strategies for short-term building energy predictions
Cheng Fan et al.
APPLIED ENERGY (2019)
Multi-objective optimization of a solar assisted heat pump-driven by hybrid PV
Evangelos Bellos et al.
APPLIED THERMAL ENGINEERING (2019)
Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
Jose R. Vazquez-Canteli et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Application of artificial neural networks for optimized AHU discharge air temperature set-point and minimized cooling energy in VAV system
Jong Man Lee et al.
APPLIED THERMAL ENGINEERING (2019)
Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
William Valladares et al.
BUILDING AND ENVIRONMENT (2019)
Data-driven model predictive control for building climate control: Three case studies on different buildings
Jiangyu Wang et al.
BUILDING AND ENVIRONMENT (2019)
Optimal Control Strategy for Variable Air Volume Air-Conditioning Systems Using Genetic Algorithms
Nam-Chul Seong et al.
SUSTAINABILITY (2019)
Advanced Building Control via Deep Reinforcement Learning
Ruoxi Jia et al.
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS (2019)
Optimal control of HVAC and window systems for natural ventilation through reinforcement learning
Yujiao Chen et al.
ENERGY AND BUILDINGS (2018)
Evaluation of a cost-responsive supply air temperature reset strategy in an office building
Paul Raftery et al.
ENERGY AND BUILDINGS (2018)
A review of data-driven building energy consumption prediction studies
Kadir Amasyali et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Practical Implementation and Evaluation of Deep Reinforcement Learning Control for a Radiant Heating System
Zhiang Zhang et al.
BUILDSYS'18: PROCEEDINGS OF THE 5TH CONFERENCE ON SYSTEMS FOR BUILT ENVIRONMENTS (2018)
Hybrid model predictive control of a residential HVAC system with on-site thermal energy generation and storage
Massimo Fiorentini et al.
APPLIED ENERGY (2017)
Short-term building energy model recommendation system: A meta-learning approach
Can Cui et al.
APPLIED ENERGY (2016)
A novel optimization algorithm based on epsilon constraint-RBF neural network for tuning PID controller in decoupled HVAC system
Seyed Mohammad Attaran et al.
APPLIED THERMAL ENGINEERING (2016)
Nonlinear model predictive control for a heating and cooling system of a low-energy office building
Alexander Schirrer et al.
ENERGY AND BUILDINGS (2016)
Grey-box modeling of a low pressure electric boiler for domestic hot water system
Abdul Atisam Farooq et al.
APPLIED THERMAL ENGINEERING (2015)
Review of modeling methods for HVAC systems
Abdul Afram et al.
APPLIED THERMAL ENGINEERING (2014)
Theory and applications of HVAC control systems - A review of model predictive control (MPC)
Abdul Afram et al.
BUILDING AND ENVIRONMENT (2014)
Optimal temperature control of intermittently heated buildings using Model Predictive Control: Part II - Control algorithm
Ion Hazyuk et al.
BUILDING AND ENVIRONMENT (2012)
Use of model predictive control and weather forecasts for energy efficient building climate control
Frauke Oldewurtel et al.
ENERGY AND BUILDINGS (2012)
Experimental analysis of model predictive control for an energy efficient building heating system
Jan Siroky et al.
APPLIED ENERGY (2011)
Modelling and adaptive control of small capacity chillers for HVAC applications
A. Beghi et al.
APPLIED THERMAL ENGINEERING (2011)