标题
BEEM: Data-driven building energy benchmarking for Singapore
作者
关键词
Building energy benchmarking, Building energy labeling, Regression analysis, Gradient boosting trees, Feature interaction, Interpretable machine learning
出版物
ENERGY AND BUILDINGS
Volume 260, Issue -, Pages 111869
出版商
Elsevier BV
发表日期
2022-01-31
DOI
10.1016/j.enbuild.2022.111869
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective
- (2020) Jonathan Roth et al. ENERGY POLICY
- EnergyStar++: Towards more accurate and explanatory building energy benchmarking
- (2020) Pandarasamy Arjunan et al. APPLIED ENERGY
- Development of an energy benchmarking database based on cost-effective energy performance indicators: Case study on public buildings in South Korea
- (2019) Deuk Woo Kim et al. ENERGY AND BUILDINGS
- Benchmark analysis of electricity consumption for complex campus buildings in China
- (2018) Yan Ding et al. APPLIED THERMAL ENGINEERING
- DUE-B: Data-driven urban energy benchmarking of buildings using recursive partitioning and stochastic frontier analysis
- (2018) Zheng Yang et al. ENERGY AND BUILDINGS
- Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data
- (2018) Chirag Deb et al. ENERGY AND BUILDINGS
- A review of data-driven approaches for prediction and classification of building energy consumption
- (2018) Yixuan Wei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A study of city-level building energy efficiency benchmarking system for China
- (2018) Zheng Wei et al. ENERGY AND BUILDINGS
- Grading buildings on energy performance using city benchmarking data
- (2018) Sokratis Papadopoulos et al. APPLIED ENERGY
- A study on energy performance of 30 commercial office buildings in Hong Kong
- (2017) Rui Jing et al. ENERGY AND BUILDINGS
- A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
- (2017) Zeyu Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Objective Building Energy Performance Benchmarking Using Data Envelopment Analysis and Monte Carlo Sampling
- (2017) Seong-Hwan Yoon et al. Sustainability
- Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques
- (2016) Hyo Seon Park et al. APPLIED ENERGY
- A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres
- (2016) Alfonso Capozzoli et al. APPLIED ENERGY
- A study on the energy performance of school buildings in Taiwan
- (2016) Jen Chun Wang ENERGY AND BUILDINGS
- Developing energy consumption benchmarks for buildings: Bank branches in Brazil
- (2014) Edward H. Borgstein et al. ENERGY AND BUILDINGS
- A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm
- (2014) Xuefeng Gao et al. ENERGY AND BUILDINGS
- Improved benchmarking comparability for energy consumption in schools
- (2013) Sung-Min Hong et al. BUILDING RESEARCH AND INFORMATION
- A method for energy classification of hotels: A case-study of Greece
- (2012) Ifigenia Farrou et al. ENERGY AND BUILDINGS
- A study on the energy performance of hotel buildings in Taiwan
- (2012) Jen Chun Wang ENERGY AND BUILDINGS
- Benchmarking energy use and greenhouse gas emissions in Singapore’s hotel industry
- (2010) Wu Xuchao et al. ENERGY POLICY
- Benchmarking the performance of building energy management using data envelopment analysis
- (2008) Wen-Shing Lee et al. APPLIED THERMAL ENGINEERING
- Building energy efficiency labeling programme in Singapore
- (2008) Siew Eang Lee et al. ENERGY POLICY
- Development of energy performance benchmarks and building energy ratings for non-domestic buildings: An example for Irish primary schools
- (2007) Patxi Hernandez et al. ENERGY AND BUILDINGS
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