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 …
Modeling and forecasting building energy consumption: A review of data-driven techniques
Building energy consumption modeling and forecasting is essential to address buildings
energy efficiency problems and take up current challenges of human comfort, urbanization …
energy efficiency problems and take up current challenges of human comfort, urbanization …
A review of data-driven building energy consumption prediction studies
K Amasyali, NM El-Gohary - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy is the lifeblood of modern societies. In the past decades, the world's energy
consumption and associated CO 2 emissions increased rapidly due to the increases in …
consumption and associated CO 2 emissions increased rapidly due to the increases in …
[HTML][HTML] A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis
With the advent of the era of big data, buildings have become not only energy-intensive but
also data-intensive. Data mining technologies have been widely utilized to release the …
also data-intensive. Data mining technologies have been widely utilized to release the …
Using BIM to improve building energy efficiency–A scientometric and systematic review
Abstract The Architecture, Engineering, Construction, and Operations (AECO) sector is
responsible for a great proportion of the global energy consumption and associated …
responsible for a great proportion of the global energy consumption and associated …
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Implementing machine-learning models in real applications is crucial to achieving intelligent
building control and high energy efficiency. Over the past few decades, numerous studies …
building control and high energy efficiency. Over the past few decades, numerous studies …
Urban energy use modeling methods and tools: A review and an outlook
Urban energy use modeling is important for understanding and managing energy
performance in cities. However, the existing methods and tools have limitations in …
performance in cities. However, the existing methods and tools have limitations in …
Data-driven energy consumption prediction of a university office building using machine learning algorithms
Redundant consumption of energy in buildings is an important issue that causes increasing
problems of climate change and global warming in the world. Therefore, it is necessary to …
problems of climate change and global warming in the world. Therefore, it is necessary to …
[HTML][HTML] On the accuracy of urban building energy modelling
The growing demand for energy in urban areas has led to the development of a variety of
methodologies for modelling energy in buildings at large scale. However, their accuracy has …
methodologies for modelling energy in buildings at large scale. However, their accuracy has …
Data driven parallel prediction of building energy consumption using generative adversarial nets
C Tian, C Li, G Zhang, Y Lv - Energy and Buildings, 2019 - Elsevier
Building energy consumption prediction is becoming increasingly vital for energy
management, equipment efficiency improvement, cooperation between building energy and …
management, equipment efficiency improvement, cooperation between building energy and …