Mohlo by se vám také líbit

Více informací o knize Power Systems Research and Operation

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 571 bodů

Anotace knihy

This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Energy technology & engineering Electrical engineering

• Plný název: Power Systems Research and Operation
• Podnázev: Selected Problems III
• Autor: Olexander Kyrylenko, Serhii Denysiuk, Ryszard Strzelecki, Ihor Blinov, Ievgen Zaitsev, Artur Zaporozhets
• Jazyk: Angličtina
• Vazba: Pevná
• EAN: 9783031447716
• ID: 43967689
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Rok vydání: 2024

---

---

---