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 …
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 …
[HTML][HTML] Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
Energy prediction models are used in buildings as a performance evaluation engine in
advanced control and optimisation, and in making informed decisions by facility managers …
advanced control and optimisation, and in making informed decisions by facility managers …
Prediction of energy consumption in hotel buildings via support vector machines
M Shao, X Wang, Z Bu, X Chen, Y Wang - Sustainable Cities and Society, 2020 - Elsevier
This paper studies and analyzes the energy consumption of hotel buildings by establishing
a support vector machine energy consumption prediction model. The support vector …
a support vector machine energy consumption prediction model. The support vector …
Energy optimization using a case-based reasoning strategy
A González-Briones, J Prieto, F De La Prieta… - Sensors, 2018 - mdpi.com
At present, the domotization of homes and public buildings is becoming increasingly
popular. Domotization is most commonly applied to the field of energy management, since it …
popular. Domotization is most commonly applied to the field of energy management, since it …
Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis
R Platon, VR Dehkordi, J Martel - Energy and Buildings, 2015 - Elsevier
This paper presents the development of simplified, yet accurate models that predict the
hourly electricity consumption of an institutional building. The models were developed to …
hourly electricity consumption of an institutional building. The models were developed to …
A review on sustainable construction management strategies for monitoring, diagnosing, and retrofitting the building's dynamic energy performance: Focused on the …
According to a press release, the building sector accounts for about 40% of the global
primary energy consumption. Energy savings can be achieved in the building sector by …
primary energy consumption. Energy savings can be achieved in the building sector by …
A methodology to estimate baseline energy use and quantify savings in electrical energy consumption in higher education institution buildings: Case study, Federal …
Accurately forecasting energy consumption in a building is an important strategy for
achieving the goal of reducing energy demand and improving energy efficiency. University …
achieving the goal of reducing energy demand and improving energy efficiency. University …
A state-of-the-art review on artificial intelligence for Smart Buildings
R Panchalingam, KC Chan - Intelligent Buildings International, 2021 - Taylor & Francis
The use of AI technologies in Smart Buildings is increasing as there are wide-scale benefits
that can be derived from improving the efficiency of a building's operation and management …
that can be derived from improving the efficiency of a building's operation and management …
Assessment model for energy consumption and greenhouse gas emissions during building construction
Many studies use life-cycle assessment (LCA) as a tool to quantify the environmental impact
of buildings. Most of these studies have focused on the maintenance and operation phases …
of buildings. Most of these studies have focused on the maintenance and operation phases …