A study of citywide urban residential energy information system for the building energy efficiency management: a cluster model of seven typical cities in China
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Nianping Li | N. Nord | H. Yoshino | Shuqin Chen | Jun Guan
[1] Stephan Weise,et al. Present and Future , 2019, A Fossil History of Southern African Land Mammals.
[2] Yixing Chen,et al. Impacts of building geometry modeling methods on the simulation results of urban building energy models , 2018 .
[3] Xuan Luo,et al. An agent-based stochastic Occupancy Simulator , 2018 .
[4] Mary Ann Piette,et al. Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis , 2017 .
[5] Ge Chen,et al. Energy use by Chinese economy: A systems cross-scale input-output analysis , 2017 .
[6] Margaret Walls,et al. Using information to close the energy efficiency gap: a review of benchmarking and disclosure ordinances , 2017 .
[7] Yixing Chen,et al. Simulation and visualization of energy-related occupant behavior in office buildings , 2017 .
[8] Tianzhen Hong,et al. Ten questions concerning occupant behavior in buildings: The big picture , 2017 .
[9] Wei Feng,et al. Energy efficiency outlook in China’s urban buildings sector through 2030 , 2016 .
[10] Sean Lyons,et al. The price effect of building energy ratings in the Dublin residential market , 2016 .
[11] David Allinson,et al. Benchmarking and tracking domestic gas and electricity consumption at the local authority level , 2016 .
[12] Hiroshi Yoshino,et al. Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies , 2015 .
[13] Michael D. Sohn,et al. Big-data for building energy performance: Lessons from assembling a very large national database of building energy use , 2015 .
[14] René Kemp,et al. Index Decomposition Analysis of Residential Energy Consumption in China: 2002-2010 , 2014 .
[15] Jacques Teller,et al. An analysis on energy efficiency initiatives in the building stock of Liege, Belgium , 2013 .
[16] Nan Zhou,et al. China's energy and emissions outlook to 2050: Perspectives from bottom-up energy end-use model , 2013 .
[17] Benjamin C. M. Fung,et al. A systematic procedure to study the influence of occupant behavior on building energy consumption , 2011 .
[18] Jessica Granderson,et al. Building energy information systems: user case studies , 2011 .
[19] Nan Zhou,et al. Assessment of building energy-saving policies and programs in China during the 11th Five-Year Plan , 2011, Energy Efficiency.
[20] B. Sovacool,et al. The Barriers to Energy Efficiency in China: Assessing Household Electricity Savings and Consumer Behavior in Liaoning Province , 2009 .
[21] Osamu Saeki,et al. Effectiveness of an energy-consumption information system on energy savings in residential houses based on monitored data , 2006 .
[22] Markus Lichtmeß,et al. Energy performance of buildings: A statistical approach to marry calculated demand and measured consumption , 2019 .
[23] Maribel Yasmina Santos,et al. An urban building database (UBD) supporting a smart city information system , 2018 .
[24] Peng Xu,et al. Energy and behavioral impacts of integrative retrofits for residential buildings: What is at stake for building energy policy reforms in northern China? , 2013 .
[25] Stefano Paolo Corgnati,et al. Total energy use in buildings -analysis and evaluation methods , 2011 .
[26] Shuqin Chen,et al. Statistical analyses on summer energy consumption characteristics of residential buildings in some cities of China , 2010 .
[27] Li Junxia,et al. ANALYSIS OF LANDSLIDE INFLUENTIAL FACTORS AND COUPLING INTENSITY BASED ON THIRD THEORY OF QUANTIFICATION , 2010 .
[28] Nianping Li,et al. A statistical method to investigate national energy consumption in the residential building sector of China , 2008 .
[29] Johanna S. Hardin,et al. Statistical Analyses , 2017 .