Poster Abstract: Disaggregated Forecasting for Large Office Buildings

被引：2

作者：

Thokala, Naveen Kumar ^{[1
]}

Chandra, M. Girish ^{[1
]}

机构：

[1] TCS Res & Innovat, Bangalore, Karnataka, India

来源：

BUILDSYS'16: PROCEEDINGS OF THE 3RD ACM CONFERENCE ON SYSTEMS FOR ENERGY-EFFCIENT BUILT ENVIRONMENTS | 2016年

关键词：

D O I：

10.1145/2993422.2996400

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the direction of minimal and cost effective sensing, working with few meters/sub-meters together with other information in the context of energy models for office buildings is an important problem to address. In this paper we propose a technique dubbed as disaggregated forecasting using sophisticated function approximation. The results obtained using the real data of an office building justifies the usefulness and the efficacy of the proposal.

引用

页码：231 / 232

页数：2

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