Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …
emerging as a popular research subject in data-driven building energy prediction owing to …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
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 …
[HTML][HTML] Electrical load forecasting using LSTM, GRU, and RNN algorithms
Forecasting the electrical load is essential in power system design and growth. It is critical
from both a technical and a financial standpoint as it improves the power system …
from both a technical and a financial standpoint as it improves the power system …
Towards intelligent building energy management: AI-based framework for power consumption and generation forecasting
Due to global warming and climate changes, buildings including residential and commercial
are significant contributors to energy consumption. To this end, net zero energy building …
are significant contributors to energy consumption. To this end, net zero energy building …
Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture
Accurate building energy consumption forecasting is crucial for developing efficient building
energy management systems, improving energy efficiency, and local building energy …
energy management systems, improving energy efficiency, and local building energy …
[HTML][HTML] A dynamic anomaly detection method of building energy consumption based on data mining technology
L Lei, B Wu, X Fang, L Chen, H Wu, W Liu - Energy, 2023 - Elsevier
Due to the equipment failure and inappropriate operation strategy, it is often difficult to
achieve energy-efficient building. Anomaly detection of building energy consumption is one …
achieve energy-efficient building. Anomaly detection of building energy consumption is one …
A sustainable data-driven energy consumption assessment model for building infrastructures in resource constraint environment
As per economic development and urbanization, there is a touchy impact on energy
consumption for commercial building infrastructures. Energy consumption analysis of …
consumption for commercial building infrastructures. Energy consumption analysis of …
[HTML][HTML] Enhancing building energy efficiency using a random forest model: A hybrid prediction approach
The building envelope considerably influences building energy consumption. To enhance
the energy efficiency of buildings, this paper proposes an approach to predict building …
the energy efficiency of buildings, this paper proposes an approach to predict building …
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 …