Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Pasquale De Falco"'
Autor:
Mokhtar Bozorg, Antonio Bracale, Pierluigi Caramia, Guido Carpinelli, Mauro Carpita, Pasquale De Falco
Publikováno v:
Protection and Control of Modern Power Systems, Vol 5, Iss 1, Pp 1-12 (2020)
Abstract Photovoltaic (PV) systems are widely spread across MV and LV distribution systems and the penetration of PV generation is solidly growing. Because of the uncertain nature of the solar energy resource, PV power forecasting models are crucial
Externí odkaz:
https://doaj.org/article/d450bc69ca09499e81cd5d67bb84359a
Autor:
Milan Straka, Pasquale De Falco, Gabriella Ferruzzi, Daniela Proto, Gijs Van Der Poel, Shahab Khormali, Lubos Buzna
Publikováno v:
IEEE Access, Vol 8, Pp 11315-11327 (2020)
The availability of charging infrastructure is essential for large-scale adoption of electric vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not only for the energy demand by loading local power grids, but in
Externí odkaz:
https://doaj.org/article/8ffaf9a9cd7641a5b04b5de1b3b59ea0
Publikováno v:
IEEE Access, Vol 7, Pp 4709-4725 (2019)
Forecasting the dynamic line rating allows to reach peaks of operational excellence upon electrical networks. Literature on dynamic rating has mainly addressed overhead lines, whereas lesser attention has been paid to buried cables. However, modeling
Externí odkaz:
https://doaj.org/article/600220c8b7774ce6863bb32816a1f819
Publikováno v:
AIMS Energy, Vol 6, Iss 6, Pp 926-948 (2018)
Extreme Wind Speed modeling, i.e. the probabilistic characterization of extreme values of wind speed, is a key tool for properly understanding the destructive wind forces which may affect mechanical safety and reliability of wind power systems, but i
Externí odkaz:
https://doaj.org/article/ba94307799d242a8b95f68c23cea13f5
Publikováno v:
Energies, Vol 14, Iss 16, p 4734 (2021)
In this paper, we introduce a model representing the key characteristics of high frequency variations of solar irradiance and photovoltaic (PV) power production based on Clear Sky Index (CSI) data. The model is suitable for data-driven decision-makin
Externí odkaz:
https://doaj.org/article/fdd12da7c6b245f0aad2bbd92780d43f
Autor:
Pasquale De Falco, Pietro Varilone
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3574 (2021)
Modern power systems are subject to waveform distortions that include spectral components (supraharmonics) in the range of 2–150 kHz. Due to the lack of regulation in this range and since supraharmonics may follow time-varying patterns, the operato
Externí odkaz:
https://doaj.org/article/73dd2092a27b481fa8dd0666ba2a49fc
An Advanced Bayesian Method for Short-Term Probabilistic Forecasting of the Generation of Wind Power
Autor:
Antonio Bracale, Pasquale De Falco
Publikováno v:
Energies, Vol 8, Iss 9, Pp 10293-10314 (2015)
Currently, among renewable distributed generation systems, wind generators are receiving a great deal of interest due to the great economic, technological, and environmental incentives they involve. However, the uncertainties due to the intermittent
Externí odkaz:
https://doaj.org/article/51f30b622d0d4cdc95b8c421188e188d
Publikováno v:
Energies, Vol 12, Iss 6, p 1011 (2019)
Accurate probabilistic forecasts of renewable generation are drivers for operational and management excellence in modern power systems and for the sustainable integration of green energy. The combination of forecasts provided by different individual
Externí odkaz:
https://doaj.org/article/3b69a08f41c348899c44accdf1eb27fd
Publikováno v:
IEEE Transactions on Power Delivery. 36:1619-1630
Operating electrical networks by Dynamic Transformer Rating (DTR) unlocks the capacity of grids and allows to increase the exploitation of distributed generation and renewables. However, there is risk associated with the operation of transformers by
Autor:
Daniela Proto, Lubos Buzna, Gijs van der Poel, Gabriella Ferruzzi, Milan Straka, Pasquale De Falco, Shahab Khormali
Publikováno v:
IEEE Access, Vol 8, Pp 11315-11327 (2020)
The availability of charging infrastructure is essential for large-scale adoption of electric vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not only for the energy demand by loading local power grids, but in