Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria R. A. Calado"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 8, Iss 1, Pp 142-149 (2020)
Wind power production is uncertain. The imbalance between committed and delivered energy in pool markets leads to the increase of system costs, which must be incurred by defaulting producers, thereby decreasing their revenues. To avoid this situation
Externí odkaz:
https://doaj.org/article/e0f5384e667a4378b9ed103c6a89d166
Autor:
João P. D. Faria, Ricardo L. Velho, Maria R. A. Calado, José A. N. Pombo, João B. L. Fermeiro, Sílvio J. P. S. Mariano
Publikováno v:
Batteries, Vol 8, Iss 2, p 18 (2022)
This paper shows the potential of artificial intelligence (AI) in Li-ion battery charging methods by introducing a new charging algorithm based on artificial neural networks (ANNs). The proposed charging algorithm is able to find an optimized chargin
Externí odkaz:
https://doaj.org/article/6032887e05fc4b8584e545c3bdee809f
Publikováno v:
Energies, Vol 14, Iss 21, p 7378 (2021)
Short-Term Load Forecasting is critical for reliable power system operation, and the search for enhanced methodologies has been a constant field of investigation, particularly in an increasingly competitive environment where the market operator and i
Externí odkaz:
https://doaj.org/article/dd27aaef327f4061b5d5426f0f4a3a92
Autor:
Majid Mehrasa, Edris Pouresmaeil, Hamid Soltani, Frede Blaabjerg, Maria R. A. Calado, João P. S. Catalão
Publikováno v:
Applied Sciences, Vol 9, Iss 6, p 1043 (2019)
This paper presents a virtual inertia and mechanical power-based control strategy to provide a stable operation of the power grid under high penetration of renewable energy sources (RESs). The proposed control technique is based on a new active and r
Externí odkaz:
https://doaj.org/article/9384d37351464a9e94a4ccdce2f3d7e6