Modeling and analyzing occupant behaviors in building energy analysis using an information space approach

摘要: Buildings account for a majority of energy consumption in the United States. One major factors affecting performance buildings is occupant behaviors. Decoding behaviors key to identifying waste and discovering strategies curtail buildings. We propose an information space approach automated detection proactive monitoring due In this paper we present set filtering algorithms capture minimum amount necessary detect wasteful states trajectories that occupants may have, order pro-actively modify also describe implement sensor network consisting inexpensive distance, light, temperature sensors electricity monitors utilized data related occupancy By keeping count number expenditures different regions building, accurately estimate how behavior use, non-invasive way. Furthermore, methodology eliminate expenditure by calculating score associated with regions. This will be used suggest policies users or facility managers help reduce costs