A review on time series forecasting techniques for building energy consumption

C Deb, F Zhang, J Yang, SE Lee, KW Shah - Renewable and Sustainable …, 2017 - Elsevier
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …

Post-occupancy evaluation: State-of-the-art analysis and state-of-the-practice review

P Li, TM Froese, G Brager - Building and environment, 2018 - Elsevier
Post-occupancy evaluation (POE) is a process of evaluating the performance of a building
after it has been occupied for at least several years. The authors conducted a …

Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders

JS Chou, DS Tran - Energy, 2018 - Elsevier
Energy consumption in buildings is increasing because of social development and
urbanization. Forecasting the energy consumption in buildings is essential for improving …

Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique

F Zhang, C Deb, SE Lee, J Yang, KW Shah - Energy and Buildings, 2016 - Elsevier
Electricity load forecasting is crucial for effective operation and management of buildings.
Support Vector Regression (SVR) have been successfully used in solving nonlinear …

[HTML][HTML] Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning

R Zahedi, M hasan Ghodusinejad, A Aslani… - Energy Strategy …, 2022 - Elsevier
With increasing environmental problems of fossil fuel-based devices and systems in
societies, diffusion and adoption of sustainability solutions such as renewable energy …

Green and cool roofs' urban heat island mitigation potential in tropical climate

J Yang, A Pyrgou, A Chong, M Santamouris… - Solar Energy, 2018 - Elsevier
Urban heat island (UHI) can significantly affect building's thermal-energy performance.
Urban materials absorb solar and infrared radiation and the accumulated heat is dissipated …

Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings

J Yang, M Santamouris, SE Lee - Energy and Buildings, 2016 - Elsevier
Occupancy information in a building is critical in terms of indoor environmental quality,
energy consumption and building energy simulation. However, it is not easy to gather and …

Energy use characteristics and benchmarking for higher education buildings

M Khoshbakht, Z Gou, K Dupre - Energy and Buildings, 2018 - Elsevier
Higher education buildings serve complex functions by providing spaces for various
activities and disciplines. This study aims to understand energy use characteristics of …

Predicting occupancy counts using physical and statistical Co2-based modeling methodologies

MS Zuraimi, A Pantazaras, KA Chaturvedi… - Building and …, 2017 - Elsevier
Energy consumption and indoor environment quality (IEQ) of buildings have been linked to
human occupants. Predicting the number of occupants in a space is essential for the …