狗万压让球平_狗万滚球进不去_万狗怎么存款狗万压让球平_狗万滚球进不去

A simplified HVAC energy prediction method based on degree-day

Sustainable Cities and Society, 2019

Huajing Sha, Peng Xu, Chonghe Hu, Zhiling Li, Yongbao Chen, Zhe Chen
Electricity demand flexibility performance of a sorption-assisted water storage on building heating

Applied Thermal Engineering, 2019

Yongbao Chen, Aditya Desai, Ferdinand Schmidt, Peng Xu
Overview of computational intelligence for building energy system design

Renewable and Sustainable Energy Reviews, 2019, 108:76-90

Huajing Sha, Peng Xu, Zhiwei Yang, Yongbao Chen, Jixu Tang
Design and performance evaluation of novel personal cooling garment

Applied Thermal Engineering, 2019, 154:131-139

Jin Hou, Zhiwei Yang, Peng Xu, Gongsheng Huang
Building heating and cooling load under different neighbourhood forms： Assessing the effect of external convective heat transfer

Energy, 2019, 173:75-91

Pengyuan Shen,Mingkun Dai,Peng Xu,Wei Dong
Extracting typical occupancy data of different buildings from mobile positioning data

Energy and Buildings, 2018, 180:135-145

Gu Jiefan,Xu peng,Pang Zhihong,Ji Ying,Chen Zhe
Measures to improve energy demand flexibility in buildings for demand response (DR) A review

Energy and Buildings, 2018, 177:125-139

Yongbao Chen,Peng Xu,Jiefan Gu,Ferdinand Schmidtb,Weilin Li
Application of mobile positioning occupancy data for building energy simulation: An engineering case study

Building and environment, 2018, 141:1-15

Zhihong Pang,Peng Xu,Zheng O'Neill,Jiefan Gu,Shunian Qiu,Xing Lu,Xin Li
Implementation of expansion planning in existing district energy system: A case study in China

Applied energy, 2018, 211:269-281

Jin Hou,Peng Xu,Xing lu,Zhihong Pang,Yiyi Chu,Gongsheng Huang
Retrofitting existing buildings to control indoor PM2.5 concentration on smog days: Initial experience of residential buildings in China

Building Service Engineering Research & Technology, 2017, 0(0):1-21

Yiyi Chu,Peng Xu,Zhiwei Yang and Weilin Li
A transient model for the thermal inertia of chilled-water systems during demand response

Energy and Buildings, 2017, 150:383-395

Weilin Li,Yiyi Chu,Peng Xu,Yiyi,Zhiwei Yang,Ying Ji,Lizhou Ni,Yi Bao,Kun Wang
Exploring an integrated urban carbon dioxide (CO2) emission model and mitigation plan for new cities

Environment and Planning B:Urban Analytics and City Science, 2017, 0(0):1-21

Chao Liu,Sen Huang,Peng Xu,Zhong-ren Peng
Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings

Applied Energy, 2017, 195:659-670

Yongbao Chen,Peng Xu,Yiyi Chu,Weilin Li,Yuntao Wu,Lizhou Ni,Yi Bao,Kun Wang
Research on the performance of an adsorption heat pump in winter demand response

Science and Technology for the Built Environment, 2016, 00:1-8

Weilin Li,Yongbao Chen, Peng Xu, Chirag Joshi & Ferdinand Schmidt
Electricity demand response in China: Status, feasible market schemes and pilots

Energy, 2016, 114:981-994

Weilin Li, Peng Xu, Huilong Wang, Zhihong Pang
A new method for calculating the thermal effects of irregular internalmass in buildings under demand response

Energy and Buildings, 2016, 130:761-772

Weilin Li, Peng Xu, Huilong Wang, Xing Lu
Cooling potential and applications prospects of passive radiative cooling in buildings:The current state-of-the-art

Renewable and Sustainable Energy Reviews, 2016, 65:1079-1097

Xing Lu, Peng Xu, Huilong Wang,Tao Yang,Jin Hou
Optimal demand response strategy of a portfolio of multiple commercial buildings: Methods and a case study

Science and Technology for the Built Environment, 2016, 22:655-665

Weilin Li,Peng Xu,Feifei Jiao
A fast method to predict the demand response peak load reductions of commercial buildings

Science and Technology for the Built Environment, 2016, 22:633-642

Weilin Li,Peng Xu
Data-quality detection and recovery for building energy management and control systems: Case study on submetering

Science and Technology for the Built Environment, 2016, 22:798-809

Yangyang Fu,Zhengwei Li, Fan Feng&Peng Xu
Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data

Applied Energy, 2016, 169(1):309-323

Ying Ji, Peng Xu, Pengfei Duan, Xing Lu
Methodology of comprehensive building energy performance diagnosis for large commercial buildings at multiple levels

Applied Energy, 2016, 169(1): 14-27

Huilong Wang, Peng Xu, Xing Lu, Dengkuo Yuan
Energy load superposition and spatial optimization in urban design: a case study

Computers Environment and Urban Systems, 2016, 57: 26-35

Ying Ji, Peng Xu, Yunyang Ye, Xing Lu& Jiachen Mao
A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity submetering data

Energy, 2015, 93:2337-2350

Ying Ji, Peng Xu

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