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Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption
Údaje o názve Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption / aut. Peter Laurinec, Marek Lóderer, Mária Lucká, Viera Rozinajová Záhlavie-meno Laurinec, Peter, 1990- (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Ďal.zodpovednosť Lóderer, Marek, 1989- Z3 (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Lucká, Mária, 1952- Z1 (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Rozinajová, Viera, 1959- Z1 (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Poznámky IF 2018 = 1,589. Wos 2018 = Q3. SJR 2018 = Q2 In Journal of Intelligent Information Systems. -- ISSN 0925-9902. -- Vol. 53, iss. 2 (2019), s. 219-239 Jazyk dok. angličtina Druh dok. RBX - článok z periodika Kategória ADC - Vedecké práce v zahraničných karentovaných časopisoch Kategória od 2022 V3 - Vedecký výstup publikačnej činnosti z časopisu Rok 2019 Ohlasy [1] 2020: HUANG, Nantian - WANG, Wenting - WANG, Sining - WANG, Jun - CAI, Guowei - ZHANG, Liang. Incorporating Load Fluctuation in Feature Importance Profile Clustering for Day-Ahead Aggregated Residential Load Forecasting. In IEEE Access, 2020-01-01, 8, pp. 25198-25209. [1] 2020: SUNNY, K. - SHEIKH, A. - BHIL, S. Forecasting and Enhancing the Performance of the Electric Grid: A Dynamic Mode Decomposition approach. In 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020, 2020, pp. 1191-1196. [1] 2021: WU, Yanping - ZHANG, Yinghui - WANG, Hongjun - DENG, Ping - LI, Tianrui. Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints. In Information Sciences, 2021, vol. 556, pp. 111-127. ISSN 0020-0255. [1] 2021: HABEN, Stephen - ARORA, Siddharth - GIASEMIDIS, Georgios - VOSS, Marcus - VUKADINOVIĆ GREETHAM, Danica. Review of low voltage load forecasting: Methods, applications, and recommendations. In Applied Energy, 2021-12-15, 304, pp. ISSN 03062619. [1] 2021: ROSTUM, Medhat Abd el Azem El Sayed - MOUSTAFA, Hassan Mohamed Mahmoud - ZIEDAN, Ibrahim El Sayed - ZAMEL, Amr Ahmed. A combined effective time series model based on clustering and whale optimization algorithm for forecasting smart meters electricity consumption. In COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2021, vol., no., pp. ISSN 0332-1649. [1] 2021: VERWIEBE, Paul Anton - SEIM, Stephan - BURGES, Simon - SCHULZ, Lennart - MÜLLER-KIRCHENBAUER, Joachim. Modeling energy demand - a systematic literature review. In Energies, 2021-12-01, vol. 14, no. 23. [1] 2021: WANG, Ziyuan - WANG, Dongtao. Study of load forecasting method based on the analysis of load characteristic. In Proceedings of SPIE The International Society for Optical Engineering, 2021, vol. 12080, art. no. 120802Vp. ISSN 0277-786X. [1] 2023: KOLI, Sakshi - SINGH, Rajesh - MISHRA, Rashmi - BADHANI, Preeti. Imperative role of customer segmentation technique for customer retention using machine learning techniques. In: 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023. Piscataway: Institute of Electrical and Electronics Engineers, 2023, pp. 243-248. ISBN 979-835032230-9. DOI: 10.1109/AISC56616.2023.10085487 
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Počet záznamov: 1