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Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting
Údaje o názve Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting / aut. Peter Laurinec, Mária Lucká Záhlavie-meno Laurinec, Peter, 1990- (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Ďal.zodpovednosť Lucká, Mária, 1952- Z1 (Autor) - FIIT Ústav informatiky, informačných systémov a softvérového inžinierstva Poznámky IF 2018 = 2,879. WOS 2018 = Q2. SJR 2018 = Q1 In Data mining and knowledge discovery. -- ISSN 1384-5810. -- Vol. 33, iss. 2 (2019), s. 413-445 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] 2019: CAPINHA, César. Predicting the timing of ecological phenomena using dates of species occurrence records: a methodological approach and test case with mushrooms. In International Journal of Biometeorology, 2019-01-01, pp. ISSN 00207128. [1] 2019: BALZANELLA, Antonio - VERDE, Rosanna. Histogram-based clustering of multiple data streams. In Knowledge and Information Systems, 2019-01-01, pp. ISSN 02191377. [3] 2019: ALEX, Suja A. - NAYAHI, J. Jesu Vedha. Deep Incremental Learning for Big Data Stream Analytics. In Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Cham : Springer, 2019, S. 600-614. ISBN 978-3-030-24642-6. [1] 2019: CUPER, Matúš - LÓDERER, Marek - ROZINAJOVÁ, Viera. Detection of abnormal load consumption in the power grid using clustering and statistical analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019-01-01, 11871 LNCS, pp. 464-475. ISSN 03029743. [1] 2020: GAJOWNICZEK, Krzysztof - BATOR, Marcin - ZABKOWSKI, Tomasz - ORLOWSKI, Arkadiusz - LOO, Chu Kiong. Simulation study on the electricity data streams time series clustering. In Energies, 2020-01-01, 13, 4, pp. [1] 2020: LARA-BENÍTEZ, Pedro - CARRANZA-GARCÍA, Manuel - GARCÍA-GUTIÉRREZ, Jorge - RIQUELME, José C. Asynchronous dual-pipeline deep learning framework for online data stream classification. In Integrated Computer-Aided Engineering, 2020-01-01, 27, 2, pp. 101-119. ISSN 10692509. [1] 2020: NAZIR, Ahsan - WAJAHAT, Ahsan - AKHTAR, Faheem - ULLAH, Faheem - QURESHI, Sirajuddin - MALIK, Sher Afghan - SHAKEEL, Anum. Evaluating Energy Efficiency of Buildings using Artificial Neural Networks and K-means Clustering Techniques. In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies: Idea to Innovation for Building the Knowledge Economy, iCoMET 2020, 2020-01-01, pp. [1] 2020: JIMÉNEZ-HERRERA, P. - MELGAR-GARCÍA, L. - ASENCIO-CORTÉS, G. - TRONCOSO, A. A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020. Vol. 12344 LNAI, pp. 522-533. ISSN 0302-9743. [1] 2021: HUANG, Yunyou - WANG, Nana - HAO, Tianshu - GUO, Xiaoxu - LUO, Chunjie - WANG, Lei - REN, Rui - ZHAN, Jianfeng. Clustering residential electricity load curve via community detection in network. In High Technology Letters, 2021, vol. 27, no. 1, pp. 53-61. ISSN 1006-6748. [1] 2021: WU, Wen Ze - PANG, Haodan - ZHENG, Chengli - XIE, Wanli - LIU, Chong. Predictive analysis of quarterly electricity consumption via a novel seasonal fractional nonhomogeneous discrete grey model: A case of Hubei in China. In Energy, 2021, vol. 229, art. no. 120714. ISSN 0360-5442. [1] 2021: BAÑALES, Santiago - DORMIDO, Raquel - DURO, Natividad. Smart meters time series clustering for demand response applications in the context of high penetration of renewable energy resources. In Energies, 2021-06-02, 14, 12, pp. [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, 14, 23, pp. [1] 2023: JIMENEZ-HERRERA, P. - MELGAR-GARCIA, L. - ASENCIO-CORTES, G. - TRONCOSO, A. Streaming big time series forecasting based on nearest similar patterns with application to energy consumption. In: LOGIC JOURNAL OF THE IGPL, 2023, vol. 31, no. 2, pp. 255-270. ISSN 1367-0751. DOI: 10.1093/jigpal/jzac017 
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