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Using crafted features and polar bear optimization algorithm for short-term electric load forecast system
Title statement Using crafted features and polar bear optimization algorithm for short-term electric load forecast system / aut. Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic Main entry-name Bhatnagar, Mansi, 1997- (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií Another responsib. Rozinaj, Gregor, 1957- Z1 (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií Vargic, Radoslav, 1972- Z1 (Author) - FEI Ústav multimediálnych informačných a komunikačných technológií In Energy and AI. -- ISSN 2666-5468. -- Vol. 19, (2025), Art. no. 100470 [15] s. Subj. Headings machine learning Crafted features Polar bear algorithms Short term load forecast Hyperparameter tunning Language English Document kind RBX - článok z periodika Category ADC - Scientific titles in foreign carented magazines and noticed year-books Category (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2025 2025 PRABHAKARAN, J. - THIRUMOORTHI, P. - MATHANKUMAR, M. - MANGAIYARKARASI, S. P. Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique. In: Scientific Reports, 2025, Vol. 15, no. 1, art. no. 14020. ISSN 2045-2322. 2025: FARUQUE, Md Omer - ISLAM, Md Majharul - TALUKDER, Md Jakaria - MIA, Arif - TASNIM, Shahriar - HOSSAIN, Md Alamgir - MUYEEN, S. M. Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions. In: Results in Engineering, 2025-09-01, vol. 27, art. no. 105606. 2025: FARUQUE, Md Omer - ISLAM, Md Majharul - TALUKDER, Md Jakaria - MIA, Arif - TASNIM, Shahriar - HOSSAIN, Md Alamgir - MUYEEN, S. M. Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions. In: Results in Engineering, 2025-09-01, vol. 27, art. no. 105606. article
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