[PDF][PDF] Building energy consumption prediction using deep learning
R Olu-Ajayi, H Alaka - … of Theory and Practice in the Built …, 2021 - researchprofiles.herts.ac.uk
The consumption of energy in buildings has elicited the occurrence of many environmental
problems such as air pollution. Building energy consumption prediction is fundamental for …
problems such as air pollution. Building energy consumption prediction is fundamental for …
Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …
many environmental problems which deploy adverse impacts on the existence of mankind …
[PDF][PDF] Deep learning for building energy consumption prediction
K Amasyali, N El-Gohary - Proceedings of the 6th CSCE-CRC …, 2017 - legacy.csce.ca
In recent years, building energy consumption prediction gained a lot of research attention
due to its importance in energy efficiency-related decision making. With the advancements …
due to its importance in energy efficiency-related decision making. With the advancements …
[PDF][PDF] A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. Energies 2021, 14, 608
J Runge, R Zmeureanu - 2021 - academia.edu
Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
Deep learning-based predictive modeling of building energy usage
Buildings are responsible for around 40% of the total global energy consumption and the
increase in the energy demand is staggering. Therefore, the energy demand prediction has …
increase in the energy demand is staggering. Therefore, the energy demand prediction has …
Energy Forecasting in Buildings Using Deep Neural Networks
M Migliori, H Najafi - ASME Journal of Engineering …, 2023 - asmedigitalcollection.asme.org
The building sector is responsible for the largest portion of the total energy consumption in
the United States. Conventional physics-based building energy models (BEMs) consider all …
the United States. Conventional physics-based building energy models (BEMs) consider all …
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
A review of deep learning techniques for forecasting energy use in buildings
J Runge, R Zmeureanu - Energies, 2021 - mdpi.com
Buildings account for a significant portion of our overall energy usage and associated
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
greenhouse gas emissions. With the increasing concerns regarding climate change, there …
Predicting the Extended Life Cycle Energy Consumption of Building Based on Deep Learning LSTM Model
Sustainable developments have been one of the main social forces worldwide, especially in
the building sector. As the current biggest energy consumption industry of 35%, it is urgent to …
the building sector. As the current biggest energy consumption industry of 35%, it is urgent 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 …