| Autors: Percuku, A., Minkovska, D. V., Hinov, N. L. Title: Enhancing Electricity Load Forecasting with Machine Learning and Deep Learning Keywords: electricity load, linear regression algorithm, long short-term memory algorithm, short-term forecasting References Issue
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Цитирания (Citation/s):
1. Veeramsetty, V, Konda, PK, Dongari, RC, Salkuti, SR, Short-Term Load Forecasting in Distribution Substation Using Autoencoder and Radial Basis Function Neural Networks: A Case Study in India, COMPUTATION, vol 13, 2025, eissn: 2079-3197, art_no: ARTN 75, doi: 10.3390/computation13030075 - 2025 - в издания, индексирани в Scopus и/или Web of Science
2. Timur, O, Üstünel, HY, Short-Term Electric Load Forecasting for an Industrial Plant Using Machine Learning-Based Algorithms, ENERGIES, vol 18, 2025, eissn: 1996-1073, art_no: ARTN 1144, doi: 10.3390/en18051144 - 2025 - в издания, индексирани в Scopus и/или Web of Science
3. Zelios V., Mastorocostas P., Kandilogiannakis G., Kesidis A., Tselenti P., Voulodimos A., Short-Term Electric Load Forecasting Using Deep Learning: A Case Study in Greece with RNN, LSTM, and GRU Networks, 2025, Electronics Switzerland, issue 14, vol. 14, DOI 10.3390/electronics14142820, eissn 20799292 - 2025 - в издания, индексирани в Scopus и/или Web of Science
4. Cruz, YJ, Castaño, F, Haber, RE, Long Short-Term Memory Mixture Density Network for Remaining Useful Life Prediction of IGBTs, TECHNOLOGIES, vol 13, 2025, eissn: 2227-7080, art_no: ARTN 321, doi: 10.3390/technologies13080321 - 2025 - в издания, индексирани в Scopus и/или Web of Science
5. Ma Z.G., Vanting N.B., Jorgensen B.N., Transfer Learning for Residential Electricity Load Forecasting in a Multi-Geographical Context, 2025, IEEE International Symposium on Industrial Electronics, issue 0, DOI 10.1109/ISIE62713.2025.11124820, issn 21635137, eissn 21635145 - 2025 - в издания, индексирани в Scopus
6. Amirali Saifoddin, Negin Mirzaei, Mohammadali Allahrabbi Shirazi, Hossein Yousefi, Applications of Supervised and Unsupervised Machine Learning Models in Energy Systems, November 2025, DOI: 10.22109/jemt.2025.547118.1573 - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
7. Precious Tochukwu Okeke, M A Augie, Felix Okumu, Tracy Obodai [...], Predictive Analytics in Financial Forecasting: A Comparative Study of Machine Learning Techniques, Sarcouncil Journal of Economics and Business Management, October 2025, DOI: 10.5281/zenodo.17461553 - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
8. Mushref Aldulaimi O.M., Kurnaz S., Farhan H.M., A hybrid ANFIS-transformer framework tuned by enhanced HawkFish optimization for voltage and load balancing in smart grids, 2025, Frontiers in Energy Research, issue 0, vol. 13, DOI 10.3389/fenrg.2025.1654803, eissn 2296598X - 2025 - в издания, индексирани в Scopus
9. Anwar Md.S., Jiang Y.L., Caruso Z., Balch B., Advanced Flexible Solar Interconnection into Distribution Systems with Dynamic Asset Rating and Fail-Safe Mode Control, 2026, IEEE Transactions on Sustainable Energy, issue 0, DOI 10.1109/TSTE.2026.3660858, issn 19493029, eissn 19493037 - 2026 - в издания, индексирани в Scopus
10. Pranata N., Saputri F.R., Short-term forecasting of Indonesia electricity generation using MATLAB based on NARX neural network, 2026, Plos One, issue 2, vol. 21, DOI 10.1371/journal.pone.0340268, eissn 19326203 - 2026 - в издания, индексирани в Scopus
11. Patel R., Optimizing Load Forecasting for Electric Vehicles (EVs) Using AI-Based Models: A Data-Driven Approach, 2025, 2025 3rd World Conference on Communication and Computing Wconf 2025, issue 0, DOI 10.1109/WCONF64849.2025.11233326 - 2025 - в издания, индексирани в Scopus
12. Shah U., Kumari S., Das S., Doshi R., Vaghela K., Matalia V., Enhancing Power Grid Efficiency with Machine Learning for Climate Change Mitigation, 2025, 2025 Artificial Intelligence and Smart Technologies for Sustainability Conference Aists 2025, issue 0, DOI 10.1109/AISTS66100.2025.11232653 - 2026 - в издания, индексирани в Scopus
Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science