A Data-Driven Approach for Long-Term Building Energy Demand Prediction

2020 ◽  
Author(s):  
Lufan Wang ◽  
Nora M. El-Gohary
Keyword(s):  
Energy Demand ◽  
Building Energy ◽  
Data Driven ◽  
Demand Prediction ◽  
Data Driven Approach ◽  
Energy Demand Prediction

scholarly journals Evaluating the Effect of COVID-19 Pandemic Lockdown on Long-Term Care Residents’ Mental Health: A Data-Driven Approach in New Brunswick

2021 ◽  
Vol 22 (1) ◽  
pp. 187-192
Author(s):  
Caitlin McArthur ◽  
Margaret Saari ◽  
George A. Heckman ◽  
Nathalie Wellens ◽  
Julie Weir ◽  
...  
Keyword(s):  
Mental Health ◽  
New Brunswick ◽  
Long Term Care ◽  
Data Driven ◽  
Term Care ◽  
Data Driven Approach

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

2018 ◽  
Vol 221 ◽  
pp. 16-27 ◽  
Author(s):  
Yabin Guo ◽  
Jiangyu Wang ◽  
Huanxin Chen ◽  
Guannan Li ◽  
Jiangyan Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Response Time ◽  
Energy Demand ◽  
Thermal Response ◽  
Heating Systems ◽  
Demand Prediction ◽  
Thermal Response Time ◽  
Energy Demand Prediction

Data-driven approach for short-term power demand prediction of fuel cell hybrid vehicles

Energy ◽  
2020 ◽  
Vol 208 ◽  
pp. 118319
Author(s):  
Tao Zeng ◽  
Caizhi Zhang ◽  
Dong Hao ◽  
Dongpu Cao ◽  
Jiawei Chen ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Cell Hybrid ◽  
Hybrid Vehicles ◽  
Data Driven ◽  
Power Demand ◽  
Short Term ◽  
Demand Prediction ◽  
Data Driven Approach ◽  
Fuel Cell Hybrid

scholarly journals A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making

2020 ◽  
Vol 279 ◽  
pp. 115834
Author(s):  
Usman Ali ◽  
Mohammad Haris Shamsi ◽  
Mark Bohacek ◽  
Karl Purcell ◽  
Cathal Hoare ◽  
...  
Keyword(s):  
Decision Making ◽  
Building Energy ◽  
Energy Modeling ◽  
Data Driven ◽  
Building Energy Modeling ◽  
Multi Scale ◽  
Data Driven Approach ◽  
Support Decision Making

426 Energy Demand Prediction of Housing Complex Using Support Vector Regression

2014 ◽  
Vol 2014.89 (0) ◽  
pp. _4-26_
Author(s):  
Takahiro KINOSHITA ◽  
Tetsuya WAKUI ◽  
Ryohei YOKOYAMA ◽  
Hiroshi IITAKA ◽  
Hirohisa AKI
Keyword(s):  
Support Vector Regression ◽  
Energy Demand ◽  
Support Vector ◽  
Demand Prediction ◽  
Housing Complex ◽  
Energy Demand Prediction
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