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load forecasting (võtmesõna)

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artikkel kogumikus

Accuracy analysis of selected time series and machine learning methods for smart cities based on Estonian electricity consumption forecastHäring, Tobias; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, Tarmo; Biechl, Helmuth2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 425-428 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161690

artikkel kogumikus
2

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Comparison of machine learning based methods for residential load forecastingShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Rosin, Argo2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings2019 / 4 p. : ill https://doi.org/10.1109/PQ.2019.8818267

artikkel kogumikus
3

artikkel kogumikus

Evaluating model performance through a user-centric explainable framework for probabilistic load forecasting modelsRobin, Rebecca; Heistrene, Leena; Belikov, Juri; Baimel, Dmitry; Levron, Yoash2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)2024 / p. 427 - 432 https://doi.org/10.1109/ICPC2T60072.2024.10474692 Article at Scopus

artikkel kogumikus
4

artikkel kogumikus

Generative adversarial network and CNN-LSTM based short-term power load forecastingLiu, Y.; Liang, Z.; Li, X.; Bakeer, Abualkasim Ahmed Ali2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / p. 1-6 https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

artikkel kogumikus
5

artikkel kogumikus

Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

artikkel kogumikus
Seotud publikatsioonid 1
- Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem
6

artikkel kogumikus EST / artikkel kogumikus ENG

Multi-step ahead short-term residential DC load forecasting : A comparative study of NGBoost-based algorithmsShabbir, Noman; Husev, Oleksandr; Hokmabad, Hossein Nourollahi; Daniel, Kamran; Jawad, Muhammad; Martins, Joao2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)2025 / 6 p https://doi.org/10.1109/ICDCM63994.2025.11144710

artikkel kogumikus EST / artikkel kogumikus ENG
7

artikkel ajakirjas EST / artikkel ajakirjas ENG

A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecastingJaved, Umar; Ijaz, Khalid; Jawad, Muhammad; Khosa, Ikramullah; Ansari, Ejaz Ahmad; Zaidi, Khurram Shabih; Rafiq, Muhammad Nadeem; Shabbir, NomanExpert systems with applications2022 / art. 117689 https://doi.org/10.1016/j.eswa.2022.117689 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
8

artikkel kogumikus

Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596

artikkel kogumikus
9

artikkel kogumikus

Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

artikkel kogumikus
10

artikkel kogumikus

Short-term residental DC load forecasting using extreme gradient boost (XgBoost) algorithmShabbir, Noman; Husev, Oleksandr; Daniel, Kamran; Jawad, Muhammad; Rosin, Argo; Martins, Joao2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2024 / 6 p https://doi.org/10.1109/CPE-POWERENG60842.2024.10604392

artikkel kogumikus

Kirjeid leitud 10, kuvan 1 - 10

1. Baltic Monitoring & Forecasting Centre (BAL-MFC)
2. Baltic Monitoring & Forecasting Centre (BAL-MFC)
3. Baltic Monitoring and Forecasting Center (BALMFC)
4. MyOcean Baltic Sea Monitoring and Forecasting Centre
5. Smart Load Solutions

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