Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis

Denis A. Snegirev, Stanislav A. Eroshenko, Alexandra I. Khalyasmaa, Valeria V. Dubailova, Alina I. Stepanova

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

Язык оригиналаАнглийский
Название основной публикацииProceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
РедакторыS. Shaposhnikov
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы1088-1091
Число страниц4
ISBN (электронное издание)9781728103396
DOI
СостояниеОпубликовано - 28 фев 2019
Событие2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 - Saint Petersburg and Moscow, Российская Федерация
Продолжительность: 28 янв 201930 янв 2019

Конференция

Конференция2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019
СтранаРоссийская Федерация
ГородSaint Petersburg and Moscow
Период28/01/201930/01/2019

Отпечаток

Solar power plants
power plants
forecasting
regression analysis
meteorological parameters
Energy harvesting
output
solar energy
predictions
Solar energy
Power generation
planning
formulations
Planning

Ключевые слова

    Предметные области ASJC Scopus

    • Electronic, Optical and Magnetic Materials
    • Safety, Risk, Reliability and Quality
    • Instrumentation
    • Energy Engineering and Power Technology
    • Radiation
    • Electrical and Electronic Engineering
    • Hardware and Architecture
    • Computer Networks and Communications

    Предметные области WoS

    • Технологии, Электротехника и электроника

    Цитировать

    Snegirev, D. A., Eroshenko, S. A., Khalyasmaa, A. I., Dubailova, V. V., & Stepanova, A. I. (2019). Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis. В S. Shaposhnikov (Ред.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 (стр. 1088-1091). [8657024] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConRus.2019.8657024
    Snegirev, Denis A. ; Eroshenko, Stanislav A. ; Khalyasmaa, Alexandra I. ; Dubailova, Valeria V. ; Stepanova, Alina I. / Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. редактор / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 1088-1091
    @inproceedings{598a46d5bb0e4289b25070fb894fdd20,
    title = "Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis",
    keywords = "Forecasting of electricity generation, Renewable energy sources, Short-term forecasting, Solar power plants, solar power plants, short-term forecasting, renewable energy sources, forecasting of electricity generation",
    author = "Snegirev, {Denis A.} and Eroshenko, {Stanislav A.} and Khalyasmaa, {Alexandra I.} and Dubailova, {Valeria V.} and Stepanova, {Alina I.}",
    year = "2019",
    month = "2",
    day = "28",
    doi = "10.1109/EIConRus.2019.8657024",
    language = "English",
    pages = "1088--1091",
    editor = "S. Shaposhnikov",
    booktitle = "Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    Snegirev, DA, Eroshenko, SA, Khalyasmaa, AI, Dubailova, VV & Stepanova, AI 2019, Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis. в S Shaposhnikov (ред.), Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019., 8657024, Institute of Electrical and Electronics Engineers Inc., стр. 1088-1091, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, Saint Petersburg and Moscow, Российская Федерация, 28/01/2019. https://doi.org/10.1109/EIConRus.2019.8657024

    Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis. / Snegirev, Denis A.; Eroshenko, Stanislav A.; Khalyasmaa, Alexandra I.; Dubailova, Valeria V.; Stepanova, Alina I.

    Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. ред. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. стр. 1088-1091 8657024.

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииНаучно-исследовательскаярецензирование

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    AU - Snegirev, Denis A.

    AU - Eroshenko, Stanislav A.

    AU - Khalyasmaa, Alexandra I.

    AU - Dubailova, Valeria V.

    AU - Stepanova, Alina I.

    PY - 2019/2/28

    Y1 - 2019/2/28

    KW - Forecasting of electricity generation

    KW - Renewable energy sources

    KW - Short-term forecasting

    KW - Solar power plants

    KW - solar power plants

    KW - short-term forecasting

    KW - renewable energy sources

    KW - forecasting of electricity generation

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    U2 - 10.1109/EIConRus.2019.8657024

    DO - 10.1109/EIConRus.2019.8657024

    M3 - Conference contribution

    SP - 1088

    EP - 1091

    BT - Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019

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    Snegirev DA, Eroshenko SA, Khalyasmaa AI, Dubailova VV, Stepanova AI. Day-ahead Solar Power Plant Forecasting Accuracy Improvement on the Hourly Basis. В Shaposhnikov S, редактор, Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. Institute of Electrical and Electronics Engineers Inc. 2019. стр. 1088-1091. 8657024 https://doi.org/10.1109/EIConRus.2019.8657024