Energy performance heterogeneity in China's buildings sector: A data-driven investigation
© 2016 Elsevier Ltd. All rights reserved. The significant variation in building's energy intensity is partly due to the large number of distributed energy users characterized by heterogeneous lifestyles and nonuniform consumption behaviours. Understanding the degree of variation and its cause i...
| Main Author: | Li, Jun |
|---|---|
| Format: | Journal Article |
| Published: |
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/31974 |
Similar Items
Data-driven approaches for analysis of building energy consumption and indoor occupancy behavior
by: Wei, Yixuan
Published: (2019)
by: Wei, Yixuan
Published: (2019)
Building a data-driven future for construction team? Capabilities matter
by: Li, Keyao (Eden), et al.
Published: (2022)
by: Li, Keyao (Eden), et al.
Published: (2022)
A comprehensive analysis of building energy efficiency policies in China: status quo and development perspective
by: Li, Jun, et al.
Published: (2015)
by: Li, Jun, et al.
Published: (2015)
Economic instruments for mitigating carbon emissions: scaling up carbon finance in China’s buildings sector
by: Li, Jun, et al.
Published: (2011)
by: Li, Jun, et al.
Published: (2011)
Data driven estimation of building interior plans
by: Rosser, Julian F., et al.
Published: (2017)
by: Rosser, Julian F., et al.
Published: (2017)
Transformation of China’s energy sector: trends and challenges
by: Lai, Hongyi, et al.
Published: (2014)
by: Lai, Hongyi, et al.
Published: (2014)
Investigating spatial heterogeneity of the environmental Kuznets curve for haze pollution in China
by: Abdul Rahim, Abdul Samad, et al.
Published: (2022)
by: Abdul Rahim, Abdul Samad, et al.
Published: (2022)
Managing China's energy sector: between the market and the state
by: Lai, Hongyi, et al.
Published: (2014)
by: Lai, Hongyi, et al.
Published: (2014)
Building data driven culture for digital competitiveness in construction industry: A theoretical exploration
by: Muhammad Adib, Hashim, et al.
Published: (2025)
by: Muhammad Adib, Hashim, et al.
Published: (2025)
A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance
by: Golightly, David, et al.
Published: (2017)
by: Golightly, David, et al.
Published: (2017)
Quality selection, sectoral heterogeneity and Chinese exports
by: Kneller, Richard, et al.
Published: (2016)
by: Kneller, Richard, et al.
Published: (2016)
Legitimising data-driven models: exemplification of a new
data-driven mechanistic modelling framework
by: Mount, Nick J., et al.
Published: (2013)
by: Mount, Nick J., et al.
Published: (2013)
Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework
by: Mount, Nick J., et al.
Published: (2013)
by: Mount, Nick J., et al.
Published: (2013)
Comprehensive evaluation of a compound parabolic concentrator PV window for building energy conservation: optical, thermal, electrical and building energy performance
by: Li, Xue
Published: (2023)
by: Li, Xue
Published: (2023)
A novel multidisciplinary paradigm for energy demand reduction in building sector: on the relationship between the energy efficiency, aesthetics and marketability of residential buildings
by: Aydin, Yusuf Cihat
Published: (2019)
by: Aydin, Yusuf Cihat
Published: (2019)
Data Warehousing for Mining of Heterogeneous Data Sources
by: Nimmagadda, Shastri
Published: (2015)
by: Nimmagadda, Shastri
Published: (2015)
Energy and climate policy in China’s twelfth five-year plan: A paradigm shift
by: Li, Jun, et al.
Published: (2012)
by: Li, Jun, et al.
Published: (2012)
Middleware for heterogeneous subsystems interoperability in intelligent buildings
by: Perumal, Thinagaran, et al.
Published: (2010)
by: Perumal, Thinagaran, et al.
Published: (2010)
Heterogeneous integration of BIM with low-cost indoor mobile laser scanning method for building fabric maintenance in China
by: Chen, Chao
Published: (2019)
by: Chen, Chao
Published: (2019)
Energy development in Nigeria and the need for strategic energy efficiency practice scheme for the residential building sector
by: Hussaini, Ibrahim Udale, et al.
Published: (2015)
by: Hussaini, Ibrahim Udale, et al.
Published: (2015)
An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms
by: Akhtar, Shamim, et al.
Published: (2022)
by: Akhtar, Shamim, et al.
Published: (2022)
Determinants of Shareholder Value in China's Banking Sector
by: LI, Zhuoyang
Published: (2016)
by: LI, Zhuoyang
Published: (2016)
Data-driven insights into protonic-ceramic fuel cell and electrolysis performance
by: Meisel, C., et al.
Published: (2025)
by: Meisel, C., et al.
Published: (2025)
Data-Driven Analysis of Computer-Based Testing to Advance Machinist Performance
by: Irwansyah, ., et al.
Published: (2024)
by: Irwansyah, ., et al.
Published: (2024)
Technical Efficiency Of Agriculture Sector In Shaanxi, China
by: Li, Yujie
Published: (2024)
by: Li, Yujie
Published: (2024)
Total-Factor Energy Efficiency in China’s Agricultural Sector: Trends, Disparities and Potentials
by: Zhou, Yixiao, et al.
Published: (2018)
by: Zhou, Yixiao, et al.
Published: (2018)
Characterizing energy efficiency for heterogeneous cellular networks
by: Nasimi, Meysam, et al.
Published: (2012)
by: Nasimi, Meysam, et al.
Published: (2012)
Data driven modelling of biomass pyrolysis
by: Sawant, Ruturaj Jayant
Published: (2024)
by: Sawant, Ruturaj Jayant
Published: (2024)
QoE-driven cross-layer downlink scheduling for heterogeneous traffics over 4G networks
by: Nasimi, Meysam, et al.
Published: (2017)
by: Nasimi, Meysam, et al.
Published: (2017)
A Review on Time-Driven Activity-Based Costing System in Various Sectors
by: Sri Nur Areena, Mohd Zaini, et al.
Published: (2019)
by: Sri Nur Areena, Mohd Zaini, et al.
Published: (2019)
A data-driven learning approach to image registration
by: Mustafa, Mohammad A.R.
Published: (2016)
by: Mustafa, Mohammad A.R.
Published: (2016)
Building energy performance a case study at G2 Building UTHM
by: Abdullah, Kamil, et al.
Published: (2018)
by: Abdullah, Kamil, et al.
Published: (2018)
A data driven approach to mapping urban neighbourhoods
by: Brindley, Paul, et al.
Published: (2014)
by: Brindley, Paul, et al.
Published: (2014)
Responsive dissemination: A data driven approach to change
by: Sherry, L., et al.
Published: (2005)
by: Sherry, L., et al.
Published: (2005)
Data-driven fMRI data analysis based on parcellation
by: Ji, Yongnan
Published: (2001)
by: Ji, Yongnan
Published: (2001)
Data-driven approach for labelling process plant event data
by: Corrêa, D., et al.
Published: (2022)
by: Corrêa, D., et al.
Published: (2022)
Implementation of server virualization to build energy efficient data centers
by: Uddin, Mueen, et al.
Published: (2014)
by: Uddin, Mueen, et al.
Published: (2014)
A Novel Deep Learning Architecture for Data-Driven Energy Efficiency Management (D2EEM) - Systematic Survey
by: Akhtar, Shamim, et al.
Published: (2021)
by: Akhtar, Shamim, et al.
Published: (2021)
Theory-based evaluation of the implementation of energy efficiency policies for commercial buildings in China
by: Chmutina, Ksenia
Published: (2011)
by: Chmutina, Ksenia
Published: (2011)
Testing structural stability in heterogeneous panel data
by: Chan, Felix, et al.
Published: (2007)
by: Chan, Felix, et al.
Published: (2007)
Similar Items
-
Data-driven approaches for analysis of building energy consumption and indoor occupancy behavior
by: Wei, Yixuan
Published: (2019) -
Building a data-driven future for construction team? Capabilities matter
by: Li, Keyao (Eden), et al.
Published: (2022) -
A comprehensive analysis of building energy efficiency policies in China: status quo and development perspective
by: Li, Jun, et al.
Published: (2015) -
Economic instruments for mitigating carbon emissions: scaling up carbon finance in China’s buildings sector
by: Li, Jun, et al.
Published: (2011) -
Data driven estimation of building interior plans
by: Rosser, Julian F., et al.
Published: (2017)