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 …
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 …
Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
The advancement of smart meters using evolving technologies such as the Internet of
Things (IoT) is producing more data for the training of energy prediction models. Since many …
Things (IoT) is producing more data for the training of energy prediction models. Since many …
[HTML][HTML] Quantifying the impact of energy consumption sources on GHG emissions in major economies: A machine learning approach
M AlShafeey, O Rashdan - Energy Strategy Reviews, 2023 - Elsevier
This article aims to quantify the impact of different energy consumption sources on
greenhouse gas (GHG) emissions for three major economies: the United States of America …
greenhouse gas (GHG) emissions for three major economies: the United States of America …
Convolutional neural network with genetic algorithm for predicting energy consumption in public buildings
Due to their capacity to improve energy consumption performance, intelligent applications
have recently assumed a pivotal position in the energy management of public buildings …
have recently assumed a pivotal position in the energy management of public buildings …
[HTML][HTML] Charging water load prediction for a thermal-energy-storage air-conditioner of a commercial building with a multilayer perceptron
This research focuses on the development of a machine learning model for predicting the
water volume that needs to be chilled in Thermal-Energy-Storage-Air-Conditioning (TES …
water volume that needs to be chilled in Thermal-Energy-Storage-Air-Conditioning (TES …
Energy Consumption in Smart Buildings using Machine Learning
KBA Kumar, G Gopireddy… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Energy is the indispensable factor of modern societies. From last few decades, there is rapid
increase in world's energy consumption due to raise of population and their comfort …
increase in world's energy consumption due to raise of population and their comfort …
[PDF][PDF] Charging water load prediction with a multilayer perceptron for an efficient facility management and maintenance of thermal-energy-storage air-conditioning
MR Sanzana - 2023 - researchgate.net
This research addresses the challenges in Thermal-Energy-Storage-Air-Conditioning
(TESAC) systems by developing a machine learning model for predicting the necessary …
(TESAC) systems by developing a machine learning model for predicting the necessary …
Benchmarking tool development for commercial buildings' energy consumption using machine learning
P Hosseini - 2024 - hammer.purdue.edu
This thesis investigates approaches to classify and anticipate the energy consumption of
commercial office buildings using external and performance benchmarking to reduce the …
commercial office buildings using external and performance benchmarking to reduce the …