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Cited by 48Smart Grid Energy ManagementSmart Grid and Power SystemsEnergy Load and Power Forecasting

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

NilmDB: The Non-Intrusive Load Monitor Database

Paris, James, Donnal, John S., Leeb, Steven B.·2014·IEEE Transactions on Smart Grid
DOI 10.1109/tsg.2014.2321582
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Abstract

This paper presents NilmDB, a comprehensive framework designed to solve the “big data” problem of non-intrusive load monitoring and diagnostics. It provides the central component of a flexible, distributed architecture for the storage, transfer, manipulation, and analysis of time-series data. NilmDB is network-transparent and facilitates remote viewing and management of large data sets by utilizing efficient data reduction and indexing techniques.

Overview

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Crossref · 10.1109/tsg.2014.2321582

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 1 references

Research works printed but not linked: 20

  1. 2013, Raspberry Pi
  2. 2013, Pickle ? Python Object Serialization
  3. cormen, 2001, Introduction to Algorithms
  4. donnal, 2013, Home NILM A Comprehensive Non-Intrusive Load Monitoring Toolkit
  5. 10.1145/800059.801126 · DOI
  6. 10.1109/TIM.2008.917179 · DOI
  7. proper, 2009, Field demonstration of a real-time non-intrusive monitoring system for condition-based maintenance, Electric Ship Design Symp
  8. paris, 2009, Scalability of non-intrusive load monitoring for shipboard applications, Amer Soc Naval Eng Day
  9. armstrong, 2004, Model Identification with Application to Building Control and Fault Detection
  10. 2013, An Update on Google Health and Google PowerMeter
  11. budish, 2013, ?The High Frequency Trading Arms Race Frequency Batch Auctions as a Market Design Response ?
  12. 10.1016/0378-7788(95)00958-2 · DOI
  13. 10.1109/61.400897 · DOI
  14. cox, 2006, Minimally intrusive strategies for fault detection and energy monitoring
  15. paris, 2006, A Framework for Non-intrusive Load Monitoring and Diagnostics
  16. han, 2011, Survey on NoSQL database, Proceedings of ICPC, 363
  17. leeds, 2012, ?The Soft Grid 2013?2020 Big Data & Utility Analytics For Smart Grid ? Tech Rep
  18. paris, 2013, A Comprehensive System for Non-Intrusive Load Monitoring and Diagnostics
  19. greene, 2005, Non-intrusive monitoring for condition-based maintenance, Amer Soc Naval Eng Reconfigurat Survivability Symp
  20. 10.1109/APEC.2010.5433437 · DOI

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Metadata

Authors
Paris, J., Donnal, J. S., & Leeb, S. B.
Affiliations
Massachusetts Institute of Technology (US)
ORCID
Venue
IEEE Transactions on Smart Grid
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2014-09
Volume
5
Issue
5
Pages
2459-2467
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
DOI
10.1109/tsg.2014.2321582
OpenAlex
W2037072846
Cited by
48
References
1
Citations by year
2026: 1 · 2024: 1 · 2023: 1 · 2022: 8 · 2021: 3 · 2020: 6 · 2019: 7 · 2018: 8 · 2017: 5 · 2016: 4 · 2015: 4
FWCI
2.30
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Transactions on Smart Grid (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Load and Power Forecasting
Keywords
non-intrusive load monitoring, time series, data storage, data reduction, indexing, big data, energy diagnostics

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CoChat. (2026). Citation check: NilmDB: The Non-Intrusive Load Monitor Database. https://app.cochat.ai/papers/10.1109/tsg.2014.2321582
The paper
Paris, J., Donnal, J. S., & Leeb, S. B. (2014). NilmDB: The Non-Intrusive Load Monitor Database. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2014.2321582