Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Carolina M. Affonso"'
Publikováno v:
Energies, Vol 16, Iss 12, p 4810 (2023)
This paper presents a comparative analysis of the effects of short-range and long-range electric vehicles charging on transformer life. Long-range vehicles are expected to become more common in the future. They have higher battery capacity and charge
Externí odkaz:
https://doaj.org/article/39c72a9706594c87923105e4cdf92e69
Publikováno v:
Energies, Vol 15, Iss 19, p 7049 (2022)
Accurate solar radiation forecasting is essential to operate power systems safely under high shares of photovoltaic generation. This paper compares the performance of several machine learning algorithms for solar radiation forecasting using endogenou
Externí odkaz:
https://doaj.org/article/ddf307e1a440412f98ede3f7a8409e89
Publikováno v:
IEEE Access, Vol 6, Pp 55986-55994 (2018)
This paper proposes a hybrid approach based on seasonal autoregressive integrated moving average (SARIMA) and neural networks for multi-step ahead wind speed forecasting using explanatory variables. In the proposed model, explanatory variables are fi
Externí odkaz:
https://doaj.org/article/68e729358c684a87b7509849c17752a7
Autor:
Diego B. Vilar, Carolina M. Affonso
Publikováno v:
Energies, Vol 14, Iss 16, p 4839 (2021)
This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator calle
Externí odkaz:
https://doaj.org/article/953bc2dc9c59474b9c4cd95eeeb0f8a9
Publikováno v:
Dyna, Vol 83, Iss 198, Pp 87-93 (2016)
La turbina eólica de viento variable se volvió el tipo dominante de turbina en nuevos parques eólicos debido a sus ventajas tecnológicas. En caso de parques eólicos ya en funcionamiento con turbinas basadas en viento constante, la migración de
Externí odkaz:
https://doaj.org/article/936b2a4302834d8e9081f6539aa16d33
Publikováno v:
Energies, Vol 13, Iss 19, p 5086 (2020)
This paper investigates the integration of a photovoltaic system into plug-in electric vehicles charging stations in a university campus building located in Belem, Brazil, considering technical, economic, and environmental impacts in a probabilistic
Externí odkaz:
https://doaj.org/article/31cc5406971c4b1a8b235bf780ba6d21
Autor:
Edna S. Solano, Carolina M. Affonso
Publikováno v:
Sustainability; Volume 15; Issue 10; Pages: 7943
This paper proposes an ensemble voting model for solar radiation forecasting based on machine learning algorithms. Several ensemble models are assessed using a simple average and a weighted average, combining the following algorithms: random forest,
Publikováno v:
International Journal of Electrical Power & Energy Systems. 147:108868
Publikováno v:
Energies, Vol 14, Iss 4839, p 4839 (2021)
Energies; Volume 14; Issue 16; Pages: 4839
Energies; Volume 14; Issue 16; Pages: 4839
This paper proposes a novel dynamic pricing scheme for demand response with individualized tariffs by consumption profile, aiming to benefit both customers and utility. The proposed method is based on the genetic algorithm, and a novel operator calle
Publikováno v:
Energies; Volume 15; Issue 19; Pages: 7049
Accurate solar radiation forecasting is essential to operate power systems safely under high shares of photovoltaic generation. This paper compares the performance of several machine learning algorithms for solar radiation forecasting using endogenou