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。Experimental study on a radiant leg warmer to improve thermal comfort of office workers in winter
Haiying Wang et al.
BUILDING AND ENVIRONMENT (2022)
BEEM: Data-driven building energy benchmarking for Singapore
Pandarasamy Arjunan et al.
ENERGY AND BUILDINGS (2022)
Investigation on pre-cooling potential of UFAD via model-based predictive control
Jaewan Joe
ENERGY AND BUILDINGS (2022)
Simplified data-driven models for model predictive control of residential buildings
Hyeongseok Lee et al.
ENERGY AND BUILDINGS (2022)
Predictive control of multi-zone variable air volume air-conditioning system based on radial basis function neural network
Lei Lei et al.
ENERGY AND BUILDINGS (2022)
Energy-efficient personalized thermal comfort control in office buildings based on multi-agent deep reinforcement learning
Liang Yu et al.
BUILDING AND ENVIRONMENT (2022)
On the Use of Wearable Face and Neck Cooling Fans to Improve Occupant Thermal Comfort in Warm Indoor Environments
Bin Yang et al.
ENERGIES (2021)
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu et al.
IEEE TRANSACTIONS ON SMART GRID (2021)
Meeting thermal needs of occupants in shared space with an adjustable thermostat and local heating in winter: An experimental study
Yingdong He et al.
ENERGY AND BUILDINGS (2021)
Intelligent Agents to Improve Thermal Satisfaction by Controlling Personal Comfort Systems Under Different Levels of Automation
Ashrant Aryal et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Grey-box modeling and application for building energy simulations-A critical review
Yanfei Li et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
All you need to know about model predictive control for buildings
Jan Drgona et al.
ANNUAL REVIEWS IN CONTROL (2020)
On the interaction between personal comfort systems and centralized HVAC systems in office buildings
Rachel Kalaimani et al.
ADVANCES IN BUILDING ENERGY RESEARCH (2020)
A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings
Jaewan Joe et al.
APPLIED ENERGY (2019)
Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy
Bingqing Chen et al.
BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)
Data-driven model predictive control using random forests for building energy optimization and climate control
Francesco Smarra et al.
APPLIED ENERGY (2018)
Implementation of predictive control in a commercial building energy management system using neural networks
Marcel Macarulla et al.
ENERGY AND BUILDINGS (2017)
BEES: Real-time occupant feedback and environmental learning framework for collaborative thermal management in multi-zone, multi-occupant buildings
Santosh K. Gupta et al.
ENERGY AND BUILDINGS (2016)
EKF based self-adaptive thermal model for a passive house
Samuel F. Fux et al.
ENERGY AND BUILDINGS (2014)
Management and monitoring of public buildings through ICT based systems: Control rules for energy saving with lighting and HVAC services
C. Aghemo et al.
FRONTIERS OF ARCHITECTURAL RESEARCH (2013)
MODELING, SIMULATION, AND EXPERIMENTS
Yudong Ma et al.
IEEE CONTROL SYSTEMS MAGAZINE (2012)
Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings
Elie Azar et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2012)
Identifying suitable models for the heat dynamics of buildings
Peder Bacher et al.
ENERGY AND BUILDINGS (2011)
Shrinking-horizon dynamic programming
Joelle Skaf et al.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2010)
Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory Part 2: Results and analysis
SM Liu et al.
ENERGY AND BUILDINGS (2006)
A revisit to block and recursive least squares for parameter estimation
J Jiang et al.
COMPUTERS & ELECTRICAL ENGINEERING (2004)