Occupancy-based one-year-ahead heating, ventilation, and air-conditioning electricity consumption optimization using machine learning

Occupancy-Based Energy Consumption Estimation Improvement through Deep Learning

(2023) Mi-Lim Kim et al.   SENSORS

Adopting occupancy-based HVAC controls in commercial building energy codes: Analysis of cost-effectiveness and decarbonization potential

(2023) Zhihong Pang et al.   APPLIED ENERGY

A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

(2022) Wuxia Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A State of Art Review on Methodologies of Occupancy Estimating in Buildings from 2011 to 2021

(2022) Liang Zhao et al.   Electronics

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

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

A synthetic building operation dataset

(2021) Han Li et al.   Scientific Data

Development of a testing and evaluation protocol for occupancy sensing technologies in building HVAC controls: A case study of representative people counting sensors

(2021) Rongpeng Zhang et al.   BUILDING AND ENVIRONMENT

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

(2021) Mohammad Esrafilian-Najafabadi et al.   ENERGY AND BUILDINGS

Optimizing energy consumption and occupants comfort in open-plan offices using local control based on occupancy dynamic data

(2020) Shide Salimi et al.   BUILDING AND ENVIRONMENT

A long short-term memory artificial neural network to predict daily HVAC consumption in buildings

(2020) R. Sendra-Arranz et al.   ENERGY AND BUILDINGS

A review of building occupancy measurement systems

(2020) Kailai Sun et al.   ENERGY AND BUILDINGS

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

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

A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction

(2019) Tao Liu et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Modeling occupancy distribution in large spaces with multi-feature classification algorithm

(2018) Wei Wang et al.   BUILDING AND ENVIRONMENT

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

(2018) Leila Nikdel et al.   BUILDING AND ENVIRONMENT

Building occupancy estimation and detection: A review

(2018) Zhenghua Chen et al.   ENERGY AND BUILDINGS

Model input selection for building heating load prediction: A case study for an office building in Tianjin

(2018) Yan Ding et al.   ENERGY AND BUILDINGS

A review of data-driven building energy consumption prediction studies

(2018) Kadir Amasyali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Occupancy-Based HVAC Control with Short-Term Occupancy Prediction Algorithms for Energy-Efficient Buildings

(2018) Jin Dong et al.   Energies

Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings

(2017) Alfonso Capozzoli et al.   Sustainable Cities and Society

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

(2015) Hamed Rafsanjani et al.   Energies

Energy intelligent buildings based on user activity: A survey

(2012) Tuan Anh Nguyen et al.   ENERGY AND BUILDINGS