[HTML][HTML] Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies
As one of the most important and advanced technology for carbon-mitigation in the building
sector, building performance simulation (BPS) has played an increasingly important role …
sector, building performance simulation (BPS) has played an increasingly important role …
A review and analysis of regression and machine learning models on commercial building electricity load forecasting
Electricity load forecasting is an important tool which can be utilized to enable effective
control of commercial building electricity loads. Accurate forecasts of commercial building …
control of commercial building electricity loads. Accurate forecasts of commercial building …
A review and reflection on open datasets of city-level building energy use and their applications
Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …
efficiency, which is an essential measure to address global energy and environmental …
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear …
This study compares building electric energy prediction approaches that use a traditional
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …
Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings
Abstract Machine learning is considered a promising method for developing building energy-
benchmarking models. However, the high dimensionality of building energy datasets can …
benchmarking models. However, the high dimensionality of building energy datasets can …
Energy-saving potential prediction models for large-scale building: A state-of-the-art review
Energy-saving potential prediction models play a major role in developing retrofit scheme.
Reliable estimation and quantification of energy saving of retrofit measures for these models …
Reliable estimation and quantification of energy saving of retrofit measures for these models …
A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings
Increasing the energy efficiency of the built environment has become a priority worldwide
and especially in Europe. Because of the relatively low turnover rate of the existing built …
and especially in Europe. Because of the relatively low turnover rate of the existing built …
Big data analytics for future electricity grids
This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …
implementation issues. The emphasis is placed on applications that are novel and have …
Building Automation and Control Systems and performance optimization: A framework for analysis
N Aste, M Manfren, G Marenzi - Renewable and Sustainable Energy …, 2017 - Elsevier
The pressing global environmental issues are fostering a rapid change in the energy and
sustainability policies for the built environment. New paradigms are emerging, such as …
sustainability policies for the built environment. New paradigms are emerging, such as …
Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review
AAA Gassar, SH Cha - Energy and Buildings, 2020 - Elsevier
Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …
built environments. Energy prediction models play irreplaceable roles in making energy …