[HTML][HTML] An improved attention-based deep learning approach for robust cooling load prediction: Public building cases under diverse occupancy schedules
Abstract Space cooling in buildings is responsible for massive energy consumption and
carbon emissions. Accurate cooling load prediction can facilitate the implementation of …
carbon emissions. Accurate cooling load prediction can facilitate the implementation of …
Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions
IA Kachalla, C Ghiaus - Energies, 2024 - mdpi.com
Accurate and efficient prediction of electric water boiler (EWB) energy consumption is
significant for energy management, effective demand response, cost minimisation, and …
significant for energy management, effective demand response, cost minimisation, and …
Automated machine learning-based building energy load prediction method
The application of data-driven building energy load prediction technologies remains a time-
consuming effort, since it highly relies on human expertise to train data-driven building …
consuming effort, since it highly relies on human expertise to train data-driven building …
Predicting energy consumption of chiller plant using WOA-BiLSTM hybrid prediction model: A case study for a hospital building
Y Song, H Xie, Z Zhu, R Ji - Energy and Buildings, 2023 - Elsevier
It is important to study building energy consumption considering the current state of global
climate and its close relationship with building energy consumption. This study proposes a …
climate and its close relationship with building energy consumption. This study proposes a …
A novel structural adaptive Caputo fractional order derivative multivariate grey model and its application in China's energy production and consumption prediction
Y Wang, Z Yang, Y Luo, R Yang, L Sun, FE Sapnken… - Energy, 2024 - Elsevier
With the deepening of economic globalization and the intensification of global warming, all
countries are faced with the challenges of low-carbon transition and continuous growth of …
countries are faced with the challenges of low-carbon transition and continuous growth of …
Identifying the most influential parameters in predicting lighting energy consumption in office buildings using data-driven method
S Norouziasl, A Jafari - Journal of Building Engineering, 2023 - Elsevier
Predicting building energy consumption is a necessary step in energy management, energy
saving and optimization. Recently, data-driven models have shown promising performance …
saving and optimization. Recently, data-driven models have shown promising performance …
CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning
L Liu, Q Fu, Y Lu, Y Wang, H Wu, J Chen - Journal of Building Engineering, 2023 - Elsevier
Accurate energy consumption prediction is crucial for optimizing energy usage and
achieving sustainable development goals, especially in the field of building engineering …
achieving sustainable development goals, especially in the field of building engineering …
Grey-box and ANN-based building models for multistep-ahead prediction of indoor temperature to implement model predictive control
Abstract Model-based predictive control (MPC) strategies for heating, ventilation, and air-
conditioning (HVAC) systems present an opportunity to lower building energy consumption …
conditioning (HVAC) systems present an opportunity to lower building energy consumption …
Predicting uncertainty of a chiller plant power consumption using quantile random forest: A commercial building case study
Selecting an appropriate confidence level for chillers models could lead to better prediction
of the peak electricity load, to more efficiently participate in demand response programs, and …
of the peak electricity load, to more efficiently participate in demand response programs, and …
Imputation of missing values in residential building monitored data: Energy consumption, behavior, and environment information
This study compares missing value handling algorithms based on the type of missing value
occurrence for building monitored data. The study data comprised energy consumption and …
occurrence for building monitored data. The study data comprised energy consumption and …