[HTML][HTML] Physical energy and data-driven models in building energy prediction: A review
The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …
diversified and flexible building energy resources, particularly the rapid development of …
A review of machine learning in building load prediction
The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …
opportunities for applying machine learning to building energy system modeling and …
A review of data-driven fault detection and diagnostics for building HVAC systems
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
sensing, and machine learning techniques, data-driven fault detection and diagnostics …
Occupancy-based HVAC control systems in buildings: A state-of-the-art review
M Esrafilian-Najafabadi, F Haghighat - Building and Environment, 2021 - Elsevier
Intelligent buildings have drawn considerable attention due to rapid progress in
communication and information technologies. These buildings can utilize current and …
communication and information technologies. These buildings can utilize current and …
Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …
variety of studies have been conducted throughout the building lifecycle for improving the …
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification
Z Dong, J Liu, B Liu, K Li, X Li - Energy and Buildings, 2021 - Elsevier
Accurate building energy consumption prediction plays an important role in building energy
management and energy policy. However, traditional prediction methods of building energy …
management and energy policy. However, traditional prediction methods of building energy …
Remaining useful life prediction of bearings by a new reinforced memory GRU network
The remaining useful life (RUL) prediction of bearings has great significance in the
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
predictive maintenance of mechanical equipment. Owing to the difficulty of collecting …
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
SK Mohapatra, S Mishra, HK Tripathy… - … Energy Technologies and …, 2022 - Elsevier
As per economic development and urbanization, there is a touchy impact on energy
consumption for commercial building infrastructures. Energy consumption analysis of …
consumption for commercial building infrastructures. Energy consumption analysis of …
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …
emerging as a popular research subject in data-driven building energy prediction owing to …
Machine learning for energy performance prediction at the design stage of buildings
The substantial amount of energy consumption in buildings and the associated adverse
effects prompts the importance of understanding building energy efficiency. Developing an …
effects prompts the importance of understanding building energy efficiency. Developing an …