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Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications

Author

Listed:
  • Grzegorz Dudek

    (Faculty of Electrical Engineering, Czestochowa University of Technology, 42-200 Czestochowa, Poland
    These authors contributed equally to this work.)

  • Paweł Piotrowski

    (Electrical Power Engineering Institute, Warsaw University of Technology, 00-662 Warsaw, Poland
    These authors contributed equally to this work.)

  • Dariusz Baczyński

    (Electrical Power Engineering Institute, Warsaw University of Technology, 00-662 Warsaw, Poland
    These authors contributed equally to this work.)

Abstract

A modern power system is a complex network of interconnected components, such as generators, transmission lines, and distribution subsystems, that are designed to provide electricity to consumers in an efficient and reliable manner [...]

Suggested Citation

  • Grzegorz Dudek & Paweł Piotrowski & Dariusz Baczyński, 2023. "Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications," Energies, MDPI, vol. 16(7), pages 1-11, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3024-:d:1107647
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    References listed on IDEAS

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    1. Paweł Piotrowski & Dariusz Baczyński & Marcin Kopyt & Tomasz Gulczyński, 2022. "Advanced Ensemble Methods Using Machine Learning and Deep Learning for One-Day-Ahead Forecasts of Electric Energy Production in Wind Farms," Energies, MDPI, vol. 15(4), pages 1-30, February.
    2. Nadia Nedjah & Luiza de Macedo Mourelle & Marcelo Silveira Dantas Lizarazu, 2022. "Evolutionary Multi-Objective Optimization Applied to Industrial Refrigeration Systems for Energy Efficiency," Energies, MDPI, vol. 15(15), pages 1-27, August.
    3. Hugo Bezerra Menezes Leite & Hamidreza Zareipour, 2023. "Six Days Ahead Forecasting of Energy Production of Small Behind-the-Meter Solar Sites," Energies, MDPI, vol. 16(3), pages 1-14, February.
    4. Manisha Sawant & Rupali Patil & Tanmay Shikhare & Shreyas Nagle & Sakshi Chavan & Shivang Negi & Neeraj Dhanraj Bokde, 2022. "A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction," Energies, MDPI, vol. 15(21), pages 1-24, October.
    5. Paweł Piotrowski & Mirosław Parol & Piotr Kapler & Bartosz Fetliński, 2022. "Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control," Energies, MDPI, vol. 15(7), pages 1-23, April.
    6. Paweł Piotrowski & Inajara Rutyna & Dariusz Baczyński & Marcin Kopyt, 2022. "Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors," Energies, MDPI, vol. 15(24), pages 1-38, December.
    7. Grzegorz Dudek, 2022. "A Comprehensive Study of Random Forest for Short-Term Load Forecasting," Energies, MDPI, vol. 15(20), pages 1-19, October.
    8. Łukasz Rokicki, 2021. "Optimization of the Configuration and Operating States of Hybrid AC/DC Low Voltage Microgrid Using a Clonal Selection Algorithm with a Modified Hypermutation Operator," Energies, MDPI, vol. 14(19), pages 1-24, October.
    9. Juan Manuel González Sopeña & Vikram Pakrashi & Bidisha Ghosh, 2022. "A Spiking Neural Network Based Wind Power Forecasting Model for Neuromorphic Devices," Energies, MDPI, vol. 15(19), pages 1-24, October.
    10. Paweł Pijarski & Piotr Kacejko & Marek Wancerz, 2022. "Voltage Control in MV Network with Distributed Generation—Possibilities of Real Quality Enhancement," Energies, MDPI, vol. 15(6), pages 1-22, March.
    11. Shahram Hanifi & Saeid Lotfian & Hossein Zare-Behtash & Andrea Cammarano, 2022. "Offshore Wind Power Forecasting—A New Hyperparameter Optimisation Algorithm for Deep Learning Models," Energies, MDPI, vol. 15(19), pages 1-21, September.
    12. Winita Sulandari & Yudho Yudhanto & Paulo Canas Rodrigues, 2022. "The Use of Singular Spectrum Analysis and K-Means Clustering-Based Bootstrap to Improve Multistep Ahead Load Forecasting," Energies, MDPI, vol. 15(16), pages 1-22, August.
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