A combination of SOM-based operating time estimation and simplified disaggregation for SME buildings using hourly energy consumption data-Reference-Cited by-同舟云学术

A combination of SOM-based operating time estimation and simplified disaggregation for SME buildings using hourly energy consumption data

Published:2019-10 Issue: Volume:201 Page:118-133
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Komatsu Hidenori,Kimura Osamu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference51 articles.

1. [dataset] Sustainable open Innovation Initiative (SII), BEMS data from energy management system open data web site. https://www.ems-opendata.jp/(Accessed 27 March 2019).

2. Agency for Natural Resources and Energy (ANRE), 2004. http://www.enecho.meti.go.jp/category/electricity_and_gas/electric/monitoring/pdf/jiyuka-seika.pdf(Accessed 27 March 2019).

3. Building energy metering and environmental monitoring: a state-of-the-art review and directions for future research;Ahmad;Energy Build.,2016

4. Contextual occupancy detection for smart office by pattern recognition of electricity consumption data;Akbar,2015

5. Smart meter-driven segmentation: what your consumption says about you;Albert;IEEE Trans. Power Syst.,2013

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Customer segmentation based on smart meter data analytics: Behavioral similarities with manual categorization for building types;Energy and Buildings;2023-03

2. IEDL: Indian Energy Dataset with Low frequency for NILM;Energy Reports;2022-11

3. Power Disaggregation Considering Seasonality of Unmonitored Building Facilities;2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST);2022-10-26

4. Power disaggregation in commercial buildings considering unmonitored facilities and multiple routines;Energy and Buildings;2022-01

5. Energy fault detection for small buildings based on peer comparison of estimated operating status;Energy and Buildings;2021-09