A review of data-driven approaches for prediction and classification of building energy consumption
A recent surge of interest in building energy consumption has generated a tremendous
amount of energy data, which boosts the data-driven algorithms for broad application …
amount of energy data, which boosts the data-driven algorithms for broad application …
Machine learning for estimation of building energy consumption and performance: a review
Ever growing population and progressive municipal business demands for constructing new
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
buildings are known as the foremost contributor to greenhouse gasses. Therefore …
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou, China
H Xu, C Ma, J Lian, K Xu, E Chaima - Journal of hydrology, 2018 - Elsevier
Floods are considered as one of the most frequently occurring natural hazards worldwide
and are occurring increasingly frequent in recent decades. Flood risk assessment is an …
and are occurring increasingly frequent in recent decades. Flood risk assessment is an …
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review
A combined cooling, heating and power (CCHP) microgrid with distributed cogeneration
units and renewable energy sources provides an effective solution to energy-related …
units and renewable energy sources provides an effective solution to energy-related …
Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review
Building operations account for the largest proportion of energy use throughout the building
life cycle. The energy saving potential is considerable taking into account the existence of a …
life cycle. The energy saving potential is considerable taking into account the existence of a …
Minimizing energy consumption for artificial lighting in a typical classroom of a Hellenic public school aiming for near Zero Energy Building using LED DC luminaires …
The energy consumption for the artificial lighting in school buildings is one of the main
consumers of electricity. In Greece, there is a large number of school buildings with quite old …
consumers of electricity. In Greece, there is a large number of school buildings with quite old …
Evaluating energy performance in non-domestic buildings: A review
EH Borgstein, R Lamberts, JLM Hensen - Energy and buildings, 2016 - Elsevier
Abstract Evaluation methods can be used to determine what constitutes good energy
performance in a building. With an increasing focus on energy use of buildings worldwide …
performance in a building. With an increasing focus on energy use of buildings worldwide …
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
Measured and simulated data sources from the built environment are increasing rapidly. It is
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
becoming normal to analyze data from hundreds, or even thousands of buildings at once …
Comparison of integrated clustering methods for accurate and stable prediction of building energy consumption data
D Hsu - Applied energy, 2015 - Elsevier
Clustering methods are often used to model energy consumption for two reasons. First,
clustering is often used to process data and to improve the predictive accuracy of …
clustering is often used to process data and to improve the predictive accuracy of …