[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
A review of data-driven building energy consumption prediction studies
K Amasyali, NM El-Gohary - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …
consumption and associated CO 2 emissions increased rapidly due to the increases in …
Load forecasting techniques and their applications in smart grids
The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …
Vector field-based support vector regression for building energy consumption prediction
Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Data-driven approaches, such as artificial neural networks …
management, and conservation. Data-driven approaches, such as artificial neural networks …
Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings
K Amasyali, N El-Gohary - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Building energy consumption prediction plays a key role in energy-efficiency decision
making. With the advancement in data analytics, a number of machine learning-based …
making. With the advancement in data analytics, a number of machine learning-based …
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Z Wang, RS Srinivasan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …
conservation as it can help us to evaluate building energy efficiency, conduct building …
Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
A review of internal and external influencing factors on energy efficiency design of buildings
Three main groups of internal and external influencing factors have been identified through
this review, including building characteristics, equipment and technologies, and occupant's …
this review, including building characteristics, equipment and technologies, and occupant's …
Regression model-based short-term load forecasting for university campus load
Load forecasting is a critical aspect for power systems planning, operation and control. In
this paper, as part of research efforts of an ambitious project at Memorial University of …
this paper, as part of research efforts of an ambitious project at Memorial University of …
Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
Short-term load prediction, which forecasts a building's thermal load with a lead time ranging
from seconds to a few days, is essential for not only monitoring and controlling the system …
from seconds to a few days, is essential for not only monitoring and controlling the system …