Review of "Advanced Filtering of Unknown Devices in Event-Based NILM by Justus Breyer, Muhammad Hamad Alizai, Sandeep Samant, Klaus Wehrle"

The paper "Advanced Filtering of Unknown Devices in Event-Based NILM" present a study of different methods that can filter step changes in electrical power consumption of household appliances into two categories: Known step changes (from previously seen appliances) and unknown changes (which need to be removed prior to running an event-based NILM method in order to reduce incorrect power attributions). The work was reviewed by three reviewers and accepted after a revision process including a discussion between reviewers and authors.

Authors

Institutions

Publication Details

Journal
ACM SIGEnergy Energy Informatics Review
Published
2024-12-01
DOI
https://doi.org/10.1145/3727200.3727203
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review of "Advanced Filtering of Unknown Devices in Event-Based NILM by Justus Breyer, Muhammad Hamad Alizai, Sandeep Samant, Klaus Wehrle"

Astrid Nieße
ACM SIGEnergy Energy Informatics Review
Neural Networks and Applications
article

Review of "Advanced Filtering of Unknown Devices in Event-Based NILM by Justus Breyer, Muhammad Hamad Alizai, Sandeep Samant, Klaus Wehrle"

Astrid Nieße
article en

Abstract

The paper "Advanced Filtering of Unknown Devices in Event-Based NILM" present a study of different methods that can filter step changes in electrical power consumption of household appliances into two categories: Known step changes (from previously seen appliances) and unknown changes (which need to be removed prior to running an event-based NILM method in order to reduce incorrect power attributions). The work was reviewed by three reviewers and accepted after a revision process including a discussion between reviewers and authors.

ACM SIGEnergy Energy Informatics ReviewVol. 4(5)
Carl von Ossietzky Universität Oldenburg (DE)
Openalex Percentile: Top 73%
Neural Networks and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.