Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Binhua Dai"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 929-939 (2022)
Due to the fluctuation and intermittency of wind power resources, large-scale wind power integration brings serious challenges to power systems. Among the existing short-term forecasting methods, the accuracy and forecast period length can hardly mee
Externí odkaz:
https://doaj.org/article/e5385208c4414a82a3ed79525721f94c
Publikováno v:
IEEE Transactions on Sustainable Energy. 14:39-54
Publikováno v:
IEEE Transactions on Industry Applications. 58:2586-2596
Publikováno v:
Renewable Energy. 184:642-661
Accurate wind power forecasting is a vital factor in day-ahead dispatch and increasing the level of penetration of renewable energy. The feature extraction of meteorological factors related to wind power output is a big challenge to improve forecasti
Publikováno v:
Renewable Energy. 179:1925-1939
To achieve a high penetration of renewable energy integration, an effective solution is to explore the interdependence between numerical weather prediction (NWP) data and historical wind power to improve prediction accuracy. This paper proposes a nov
Publikováno v:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).
Publikováno v:
Applied Energy. 322:119475
Publikováno v:
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES).
In the current environment of energy storage development, economic analysis has guiding significance for the construction of user-side energy storage. This paper considers time-of-use electricity prices, establishes a benefit model from three aspects
Publikováno v:
Applied Energy. 301:117446
The integration of large-scale wind power introduces issues in modern power systems operations due to its strong randomness and volatility. These issues can be resolved via wind power forecasting that can provide comprehensive future information abou