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 …
[HTML][HTML] Urban building energy modeling–A review of a nascent field
CF Reinhart, CC Davila - Building and Environment, 2016 - Elsevier
Over the past decades, detailed individual building energy models (BEM) on the one side
and regional and country-level building stock models on the other side have become …
and regional and country-level building stock models on the other side have become …
The gap between predicted and measured energy performance of buildings: A framework for investigation
P De Wilde - Automation in construction, 2014 - Elsevier
There often is a significant difference between predicted (computed) energy performance of
buildings and actual measured energy use once buildings are operational. This article …
buildings and actual measured energy use once buildings are operational. This article …
DeST 3.0: A new-generation building performance simulation platform
Buildings contribute to almost 30% of total energy consumption worldwide. Developing
building energy modeling programs is of great significance for lifecycle building …
building energy modeling programs is of great significance for lifecycle building …
A review of optimization based tools for design and control of building energy systems
KA Barber, M Krarti - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
This paper reviews applications of multi-objective optimization approaches for design,
control, and the combination of both design and control of a single element or a set of …
control, and the combination of both design and control of a single element or a set of …
Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
The energy performance of buildings was estimated using various data mining techniques,
including support vector regression (SVR), artificial neural network (ANN), classification and …
including support vector regression (SVR), artificial neural network (ANN), classification and …
A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings
Thermal energy storage (TES) is an effective method for load shifting and demand response
in buildings. Optimal TES control and management are essential to improve the …
in buildings. Optimal TES control and management are essential to improve the …
Application of sensitivity analysis in building energy simulations: Combining first-and second-order elementary effects methods
Sensitivity analysis plays an important role in the understanding of complex models. It helps
to identify the influence of input parameters in relation to the outputs. It can also be a tool to …
to identify the influence of input parameters in relation to the outputs. It can also be a tool to …
Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system
G Fu - Energy, 2018 - Elsevier
Due to the high energy consumption in buildings, cooling load forecasting plays a crucial
role in the planning, control and operation of heating, ventilating and air-conditioning …
role in the planning, control and operation of heating, ventilating and air-conditioning …
Utilizing the Fanger thermal comfort model to evaluate the thermal, energy, economic, and environmental performance of PCM-integrated buildings in various climate …
This research investigated the thermal and energy performance of a PCM-integrated Mid-
rise Apartment building in 15 climatic zones and 60 cities using EnergyPlus software. A …
rise Apartment building in 15 climatic zones and 60 cities using EnergyPlus software. A …