Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Forecasting of electricity usage using smart metering systems

2016/21/N/ST8/02435

Keywords:

machine learning computational intelligence smart metering systems appliance recognition

Descriptors:

  • ST8_3: Computational engineering, computer-aided modelling, design and manufacturing
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST8_5: Power systems (production, distribution)

Panel:

ST8 - Production and processes engineering: modelling, product design, process design and control, construction methods and engineering, power units and systems

Host institution :

Szkoła Główna Gospodarstwa Wiejskiego w Warszawie, Wydział Zastosowań Informatyki i Matematyki

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Krzysztof Gajowniczek 

Number of co-investigators in the project: 2

Call: PRELUDIUM 11 - announced on 2016-03-15

Amount awarded: 40 800 PLN

Project start date (Y-m-d): 2017-02-16

Project end date (Y-m-d): 2018-08-15

Project duration:: 18 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (6)
  • Articles in post-conference publications (3)
  1. Electricity forecasting on the individual household level enhanced based on activity patterns
    Authors:
    Gajowniczek Krzysztof, Ząbkowski Tomasz
    Academic press:
    PLoS ONE (rok: 2017, tom: 12(4), strony: 45317), Wydawca: PLOS
    Status:
    Published
    DOI:
    10.1371/journal.pone.0174098 - link to the publication
  2. Revealing Household Characteristics from Electricity Meter Data with Grade Analysis and Machine Learning Algorithms
    Authors:
    Gajowniczek Krzysztof, Ząbkowski Tomasz, Sodenkamp Mariya
    Academic press:
    Applied Sciences (rok: 2018, tom: 8(9), strony: art. 1654), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app8091654 - link to the publication
  3. Simulation Study on the Application of the Generalized Entropy Concept in Artificial Neural Networks
    Authors:
    Gajowniczek Krzysztof, Ząbkowski Tomasz, Orłowski Arkadiusz
    Academic press:
    Entropy (rok: 2018, tom: 20(4), strony: art. 249), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/e20040249 - link to the publication
  4. Two-stage electricity demand modelling using machine learning algorithms
    Authors:
    Gajowniczek Krzysztof, Ząbkowski Tomasz
    Academic press:
    Energies (rok: 2017, tom: 10(10), strony: 45316), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en10101547 - link to the publication
  5. Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques
    Authors:
    Nafkha Rafik, Gajowniczek Krzysztof, Ząbkowski Tomasz
    Academic press:
    Energies (rok: 2018, tom: 11(3), strony: 45308), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/en11030514 - link to the publication
  6. Simulation Study on Clustering Approaches for Short-Term Electricity Forecasting
    Authors:
    Gajowniczek Krzysztof, Ząbkowski Tomasz
    Academic press:
    Complexity (rok: 2018, tom: 2018, strony: art. 3683969), Wydawca: Hindawi
    Status:
    Published
    DOI:
    10.1155/2018/3683969 - link to the publication
  1. Electricity peak demand classification with artificial neural networks
    Authors:
    Gajowniczek Krzysztof, Nafkha Rafik, Ząbkowski Tomasz
    Conference:
    Federated Conference on Computer Science and Information Systems (rok: 2017, ), Wydawca: ACSIS
    Data:
    konferencja 3-6.09.2017
    Status:
    Published
    DOI:
    link to the publication
  2. Grade analysis for households segmentation based on energy usage patterns
    Authors:
    Ząbkowski Tomasz, Gajowniczek Krzysztof
    Conference:
    INnovations in Intelligent SysTems and Applications (rok: 2017, ), Wydawca: IEEE
    Data:
    konferencja 3-5.07.2017
    Status:
    Published
  3. Seasonal peak demand classification with machine learning techniques
    Authors:
    Gajowniczek Krzysztof, Nafkha Rafik, Ząbkowski Tomasz
    Conference:
    1st International Conference on Applied Mathematics and Computer Science (rok: 2018, ), Wydawca: Springer Verlag
    Data:
    konferencja 13-15.04.2018
    Status:
    Accepted for publication

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