An occupant-based energy consumption prediction model for office equipment
暂无分享,去创建一个
[1] Rui Neves-Silva,et al. Stochastic models for building energy prediction based on occupant behavior assessment , 2012 .
[2] Bauke de Vries,et al. Methods for the prediction of intermediate activities by office occupants , 2010 .
[3] J. Widén,et al. A high-resolution stochastic model of domestic activity patterns and electricity demand , 2010 .
[4] Guido Carpinelli,et al. Multi-linear Monte Carlo simulation method for probabilistic load flow of distribution systems with wind and photovoltaic generation systems , 2015 .
[5] Fernanda Leite,et al. Integrating probabilistic methods for describing occupant presence with building energy simulation models , 2014 .
[6] O. T. Masoso,et al. The dark side of occupants’ behaviour on building energy use , 2010 .
[7] Elie Azar,et al. A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings , 2012 .
[8] Andrea Masini,et al. The impact of behavioural factors in the renewable energy investment decision making process: Conceptual framework and empirical findings , 2012 .
[9] Qiang Fu,et al. Influence of indoor design air parameters on energy consumption of heating and air conditioning , 2013 .
[10] Kelvin K. W. Yau,et al. Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .
[11] David E. Gunderson,et al. Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction , 2015 .
[12] Darren Robinson,et al. A bottom-up stochastic model to predict building occupants' time-dependent activities , 2013 .
[13] Ricardo Enríquez,et al. Dynamic integrated method based on regression and averages, applied to estimate the thermal parameters of a room in an occupied office building in Madrid , 2014 .
[14] J. Widén,et al. Forecasting household consumer electricity load profiles with a combined physical and behavioral approach , 2014 .
[15] J. Torriti. A review of time use models of residential electricity demand , 2014 .
[16] Tianzhen Hong,et al. An insight into actual energy use and its drivers in high-performance buildings , 2014 .
[17] Henrik Madsen,et al. Dynamic modeling of presence of occupants using inhomogeneous Markov chains , 2014 .
[18] Darren Robinson,et al. A generalised stochastic model for the simulation of occupant presence , 2008 .
[19] Jie Zhao,et al. Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining , 2014 .
[20] Aref Y. Maalej,et al. Dynamic modelling and simulation of a new air conditioning prototype by solar energy , 2007 .