Data-driven prediction and optimization in building energy consumption
The data records for building energy consumption of Seattle City in 2015 and 2016 are obtained from the annual data reports and used as the datasets in data-driven prediction and optimization models’ development for energy efficiency evaluation and enhancement. A gradient boosting regression approac...
Saved in:
Main Author: | Tan, Yong Shen |
---|---|
Other Authors: | Zhang Limao |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/154453 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Data-driven analysis in building energy consumption
by: Poh, Shih Gee
Published: (2022) -
Data-driven estimation of building energy consumption with multi-source heterogeneous data
by: Pan, Yue, et al.
Published: (2022) -
Data-driven optimization for mitigating energy consumption and GHG emissions in buildings
by: Zhang, Yan, et al.
Published: (2024) -
Simulation analysis and scheme optimization of energy consumption in public buildings
by: Liu, Yang, et al.
Published: (2020) -
Analysis on selection of building materials to reduce energy consumption in commercial buildings
by: Ong, Zi Yang
Published: (2019)