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Pregled bibliografske jedinice broj: 514460

Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires

Mileta, Dino; Skok, Minea; Šimić, Zdenko
Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires // International review of civil engineering, 6 (2011), 2; - (međunarodna recenzija, članak, znanstveni)

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Naslov
Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires

Autori
Mileta, Dino ; Skok, Minea ; Šimić, Zdenko

Izvornik
International review of civil engineering (2036-9913) 6 (2011), 2;

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Electricity Market; Load Profiles; Data Mining; K-Means; Decision Trees; Clustering; Tariff Design

Sažetak
Since the deregulation of electricity sector, load profiles of electricity customers are even more important because the knowledge gathered from load profiling can be used for various additional purposes. Special use is, for example, tariff design under market environment. In this paper new framework is developed for tariff design. This framework uses k-means algorithm for clustering samples of measured load profiles and makes classification by using decision trees for data from questionnaires which were filled by household customers. This way it is possible to maximize combined use of historic load measurements and simple information about various household customers.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Projekti:
036-0361590-1589 - Nuklearne elektrane za održivu proizvodnju električne energije (Feretić, Danilo, MZO ) ( CroRIS)
036-0361590-1591 - Razvoj alata za analizu tržišta električne energije (Krajcar, Slavko, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Energetski institut

Profili:

Avatar Url Zdenko Šimić (autor)

Avatar Url Minea Skok (autor)

Citiraj ovu publikaciju:

Mileta, Dino; Skok, Minea; Šimić, Zdenko
Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires // International review of civil engineering, 6 (2011), 2; - (međunarodna recenzija, članak, znanstveni)
Mileta, D., Skok, M. & Šimić, Z. (2011) Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires. International review of civil engineering, 6 (2), -.
@article{article, author = {Mileta, Dino and Skok, Minea and \v{S}imi\'{c}, Zdenko}, year = {2011}, pages = {---}, keywords = {Electricity Market, Load Profiles, Data Mining, K-Means, Decision Trees, Clustering, Tariff Design}, journal = {International review of civil engineering}, volume = {6}, number = {2}, issn = {2036-9913}, title = {Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires}, keyword = {Electricity Market, Load Profiles, Data Mining, K-Means, Decision Trees, Clustering, Tariff Design} }
@article{article, author = {Mileta, Dino and Skok, Minea and \v{S}imi\'{c}, Zdenko}, year = {2011}, pages = {---}, keywords = {Electricity Market, Load Profiles, Data Mining, K-Means, Decision Trees, Clustering, Tariff Design}, journal = {International review of civil engineering}, volume = {6}, number = {2}, issn = {2036-9913}, title = {Electricity Tariff Design Based on Clustered Load Profiles Classified by Exploiting Questionnaires}, keyword = {Electricity Market, Load Profiles, Data Mining, K-Means, Decision Trees, Clustering, Tariff Design} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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