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A PROCEDURE FOR ACCURACY INCREASING OF A SOLAR POWER PLANT SHORT-TERM GENERATION FORECASTдоклад на конференции
- Авторы: Lisitskaya Natalya, Frid Semen, Kiseleva Sofya
- Международная Конференция : The 20th INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2022 April 21-22, 2022, ISMA University of Applied Science, Riga, Latvia
- Даты проведения конференции: 21-22 апреля 2022
- Дата доклада: 21 апреля 2022
- Тип доклада: Устный
- Докладчик: Kiseleva Sofya
- Место проведения: Рига, Latvia
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Аннотация доклада:
A method has been developed for refining a short-term forecast of solar power plant performance using machine learning, which allows reducing financial losses of inaccurate forecast in most cases to 2-7% of the generated electricity cost and is approximately an order of magnitude more accurate than the dynamic simulation of solar power plant operation based on numerical weather prediction data.
- Добавил в систему: Киселева Софья Валентиновна