Machine learning and deep learning in energy systems: A review
With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …
and decisive role in all of the sectors of society. To accelerate the process and improve the …
Systematic review of deep learning and machine learning for building energy
S Ardabili, L Abdolalizadeh, C Mako, B Torok… - Frontiers in Energy …, 2022 - frontiersin.org
The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …
smart cities. Recently, the novel data science and data-driven technologies have shown …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine
Z Gao, J Yu, A Zhao, Q Hu, S Yang - Energy, 2022 - Elsevier
Air conditioning system is extensively used in large commercial buildings. The fast and
accurate building cooling load forecasting is the basis for improving the operation efficiency …
accurate building cooling load forecasting is the basis for improving the operation efficiency …
Buildings' energy consumption prediction models based on buildings' characteristics: Research trends, taxonomy, and performance measures
Building's energy consumption prediction is essential to achieve energy efficiency and
sustain-ability. Building's energy consumption is highly dependent on buildings' …
sustain-ability. Building's energy consumption is highly dependent on buildings' …
Regression tree ensemble learning-based prediction of the heating and cooling loads of residential buildings
N Pachauri, CW Ahn - Building Simulation, 2022 - Springer
Building energy consumption is heavily dependent on its heating load (HL) and cooling load
(CL). Therefore, an efficient building demand forecast is critical for ensuring energy savings …
(CL). Therefore, an efficient building demand forecast is critical for ensuring energy savings …
Study on occupant behaviour using air conditioning of high-rise residential buildings in hot summer and cold winter zone in China
J Duan, N Li, J Peng, C Wang, Q Liu, X Zhou - Energy and Buildings, 2022 - Elsevier
Over the past two decades, the electricity consumption of residential air conditioning (AC)
has increased by 13.4 times. Moreover, carbon emissions from building operations remain …
has increased by 13.4 times. Moreover, carbon emissions from building operations remain …
Deep Learning‐Assisted Short‐Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU
Over the decades, a rapid upsurge in electricity demand has been observed due to
overpopulation and technological growth. The optimum production of energy is mandatory to …
overpopulation and technological growth. The optimum production of energy is mandatory to …
Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings
The development of a reliable energy use prediction model is still difficult due to the inherent
complex pattern of energy use data. There are few studies developing a prediction model for …
complex pattern of energy use data. There are few studies developing a prediction model for …
A data-driven approach based on quantile regression forest to forecast cooling load for commercial buildings
M Rana, S Sethuvenkatraman… - Sustainable Cities and …, 2022 - Elsevier
Reliable prediction of thermal load is essential for implementing an efficient and economic
energy management plan in commercial buildings. While previous research has been …
energy management plan in commercial buildings. While previous research has been …