Predicting Room-Level Occupancy Using Smart-Meter Data

Akshay Uttama Nambi, Angga Irawan, Arif Nurhidayat, Bontor Humala and Tubagus Rizky Dharmawan
Additional contact information
Akshay Uttama Nambi: Delft University of Technology, Delft, Netherlands
Angga Irawan: Delft University of Technology, Delft, Netherlands
Arif Nurhidayat: Delft University of Technology, Delft, Netherlands
Bontor Humala: Delft University of Technology, Delft, Netherlands
Tubagus Rizky Dharmawan: Delft University of Technology, Delft, Netherlands

International Journal of Distributed Systems and Technologies (IJDST), 2017, vol. 8, issue 4, 1-16

Abstract: Occupancy information in buildings is a crucial information to enable automated load controlling resulting in significant energy savings. Unfortunately, current methods obtain occupancy data by using additional infrastructure, which can be expensive and inefficient. In this paper, we propose a method to predict room-level occupancy by utilizing only smart-meter data. Several classifiers are used to estimate room-level occupancy information. We identify the best feature set consisting of appliances energy data, appliances state, and house-level occupancy data. The features are obtained using only smart meter data along with non-intrusive load monitoring and house-level occupancy prediction. We show that the proposed methods can achieve up to 90% accuracy for room-level occupancy prediction using only smart meter data.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJDST.2017100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdst00:v:8:y:2017:i:4:p:1-16

Access Statistics for this article

International Journal of Distributed Systems and Technologies (IJDST) is currently edited by Nik Bessis

More articles in International Journal of Distributed Systems and Technologies (IJDST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().