Forecasting electrical energy consumption for 24 hours ahead at country scale

• Published in: PROBLEMS IN PROGRAMMING
• Date: 2024
• Issue: 2-3
• Pages: 147-154
• ISSN: 1727-4907
• Author Affiliations: A.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine; D.V. Zhora — Institute of Software Systems NAS of Ukraine; V.O. Haidukevych — Institute of Software Systems NAS of Ukraine; Y.O. Haidukevych — Institute of Software Systems NAS of Ukraine; O.A. Yatsenko — Institute of Software Systems NAS of Ukraine
• Keywords: прогнозування попиту на електроенергію, регресійна модель, прогноз генерації електроенергії, machine learning, регресійне моделювання, модель авто- регресії, короткострокове прогнозування електроспоживання, ринок електроенергії, модель машинного навчання, прогнозу- вання
• Main Authors: Doroshenko, A.Yu., Zhora, D.V., Haidukevych, V.O., Haidukevych, Y.O., Yatsenko, O.A.
• Format: Article
• Language: Ukrainian
• Published: PROBLEMS IN PROGRAMMING 2024
• Subjects: machine learning; regression; forecasting; electricity markets; UDC 658.26; 004.421; 004.89
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/631
• Journal Title: Problems in programming

For a long period, Ukraine had only one market for electrical energy. That was the market of bilateral agreements that wasn’t flexible enough to balance the interests of consumers and suppliers of electricity. Such agreements could span weeks, months, or even years. Several years ago, Ukraine adopte...