Occupancy-based HVAC control using deep learning algorithms for estimating online preconditioning time in residential buildings

Building HVAC Control with Reinforcement Learning for Reduction of Energy Cost and Demand Charge

(2021) Zhanhong Jiang et al.   ENERGY AND BUILDINGS

Dynamic optimization of solar‐wind hybrid system connected to electrical battery or hydrogen as an energy storage system

(2021) Sina Akhavan Shams et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Occupancy-based HVAC control systems in buildings: A state-of-the-art review

(2021) Mohammad Esrafilian-Najafabadi et al.   BUILDING AND ENVIRONMENT

Extracting energy-related knowledge from mining occupants’ behavioral data in residential buildings

(2021) Sajad M.R. Khani et al.   Journal of Building Engineering

Energy saving impact of occupancy-driven thermostat for residential buildings

(2020) Chenli Wang et al.   ENERGY AND BUILDINGS

Evaluation of occupancy-based temperature controls on energy performance of KSA residential buildings

(2020) Moncef Krarti   ENERGY AND BUILDINGS

Development and Evaluation of Occupancy-Aware HVAC Control for Residential Building Energy Efficiency and Occupant Comfort

(2020) Christina Turley et al.   Energies

Data-driven predictive control for unlocking building energy flexibility: A review

(2020) Anjukan Kathirgamanathan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data

(2019) Brent Huchuk et al.   BUILDING AND ENVIRONMENT

Systematic data mining-based framework to discover potential energy waste patterns in residential buildings

(2019) Jun Li et al.   ENERGY AND BUILDINGS

Multiple perspectives of the value of occupancy-based HVAC control systems

(2018) Leila Nikdel et al.   BUILDING AND ENVIRONMENT

A zone-level, building energy optimisation combining an artificial neural network, a genetic algorithm, and model predictive control

(2018) Jonathan Reynolds et al.   ENERGY

Control of electrically heated floor for building load management: A simplified self-learning predictive control approach

(2018) Hélène Thieblemont et al.   ENERGY AND BUILDINGS

Simulation-Based Evaluation and Optimization of Control Strategies in Buildings

(2018) Georgios Kontes et al.   Energies

Energy, environmental and economic assessment of a polygeneration system of local desalination and CCHP

(2018) Mohammad Esrafilian et al.   DESALINATION

Assessing the impacts of real-time occupancy state transitions on building heating/cooling loads

(2017) Zheng Yang et al.   ENERGY AND BUILDINGS

Turning up the heat on obsolete thermostats: A simulation-based comparison of intelligent control approaches for residential heating systems

(2017) Florian Nägele et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Do occupancy-responsive learning thermostats save energy? A field study in university residence halls

(2016) Marco Pritoni et al.   ENERGY AND BUILDINGS

Experimental study of occupancy-based control of HVAC zones

(2015) Siddharth Goyal et al.   APPLIED ENERGY

A Human Expert-Based Approach to Electrical Peak Demand Management

(2015) D. Bian et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Heating and cooling energy trends and drivers in buildings

(2015) Diana Ürge-Vorsatz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Occupancy-based zone-climate control for energy-efficient buildings: Complexity vs. performance

(2013) Siddharth Goyal et al.   APPLIED ENERGY

Occupancy Prediction Algorithms for Thermostat Control Systems Using Mobile Devices

(2013) Seungwoo Lee et al.   IEEE Transactions on Smart Grid

Importance of occupancy information for building climate control

(2012) Frauke Oldewurtel et al.   APPLIED ENERGY

How people use thermostats in homes: A review

(2011) Therese Peffer et al.   BUILDING AND ENVIRONMENT