King's College London

Research portal

Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns

Research output: Contribution to journalArticle

Standard

Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns. / Baretta, Davide; Grillo, Samuele; Pigoli, Davide; Bionda, Enea ; Bossi, Claudio ; Tornelli, Carlo.

In: Sustainable Energy, Grids and Networks, 08.02.2020.

Research output: Contribution to journalArticle

Harvard

Baretta, D, Grillo, S, Pigoli, D, Bionda, E, Bossi, C & Tornelli, C 2020, 'Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns', Sustainable Energy, Grids and Networks. <https://arxiv.org/pdf/1909.05237.pdf>

APA

Baretta, D., Grillo, S., Pigoli, D., Bionda, E., Bossi, C., & Tornelli, C. (Accepted/In press). Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns. Sustainable Energy, Grids and Networks. https://arxiv.org/pdf/1909.05237.pdf

Vancouver

Baretta D, Grillo S, Pigoli D, Bionda E, Bossi C, Tornelli C. Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns. Sustainable Energy, Grids and Networks. 2020 Feb 8.

Author

Baretta, Davide ; Grillo, Samuele ; Pigoli, Davide ; Bionda, Enea ; Bossi, Claudio ; Tornelli, Carlo. / Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns. In: Sustainable Energy, Grids and Networks. 2020.

Bibtex Download

@article{8235c2e5856147a6b83ea53f8bcfee2f,
title = "Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns",
author = "Davide Baretta and Samuele Grillo and Davide Pigoli and Enea Bionda and Claudio Bossi and Carlo Tornelli",
year = "2020",
month = feb,
day = "8",
language = "English",
journal = "Sustainable Energy, Grids and Networks",
issn = "2352-4677",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Functional Principal Component Analysis as a Versatile Technique to Understand and Predict the Electric Consumption Patterns

AU - Baretta, Davide

AU - Grillo, Samuele

AU - Pigoli, Davide

AU - Bionda, Enea

AU - Bossi, Claudio

AU - Tornelli, Carlo

PY - 2020/2/8

Y1 - 2020/2/8

M3 - Article

JO - Sustainable Energy, Grids and Networks

JF - Sustainable Energy, Grids and Networks

SN - 2352-4677

ER -

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454