Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Alfredo Nespoli"'
Publikováno v:
Forecasting, Vol 5, Iss 1, Pp 297-314 (2023)
Optimal behind-the-meter energy management often requires a day-ahead electric load forecast capable of learning non-linear and non-stationary patterns, due to the spatial disaggregation of loads and concept drift associated with time-varying physics
Externí odkaz:
https://doaj.org/article/748378d6fa2d43e5b03aad086347d934
Autor:
Silvana Matrone, Emanuele Giovanni Carlo Ogliari, Alfredo Nespoli, Giambattista Gruosso, Alessandro Gandelli
Publikováno v:
IEEE Access, Vol 11, Pp 52444-52451 (2023)
The fast increase in electric vehicle (EV) usage in the last 10 years has raised the need to properly forecast their energy consumption during charge. Lithium-ion batteries have become the major storage component for electric vehicles, avoiding their
Externí odkaz:
https://doaj.org/article/a1f4b8838948484c87be9b0a5986da56
Publikováno v:
IEEE Access, Vol 11, Pp 6273-6283 (2023)
The increasing adoption of electric vehicles poses new problems for the electrical distribution network. For this reason, proper electric vehicle forecasting will be of fundamental importance for a predictive energy management system, which could gre
Externí odkaz:
https://doaj.org/article/e1d53f962d944c5ea1e133cd8f0974ac
Publikováno v:
IEEE Access, Vol 10, Pp 32900-32911 (2022)
Day-ahead power forecasting is an effective way to deal with the challenges of increased penetration of photovoltaic power into the electric grid, due to its non-programmable nature. This is significantly beneficial for smart grid and micro-grids app
Externí odkaz:
https://doaj.org/article/9b0d0d0e49e34c6ca57ae7cb2d50b352
Publikováno v:
Forecasting, Vol 3, Iss 4, Pp 663-681 (2021)
The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute
Externí odkaz:
https://doaj.org/article/79c8838892cf4ef7981d7a344841c844
Autor:
Alfredo Nespoli, Emanuele Ogliari, Silvia Pretto, Michele Gavazzeni, Sonia Vigani, Franco Paccanelli
Publikováno v:
Forecasting, Vol 3, Iss 1, Pp 91-101 (2021)
Accurate forecast of aggregate end-users electric load profiles is becoming a hot topic in research for those main issues addressed in many fields such as the electricity services market. Hence, load forecast is an extremely important task which shou
Externí odkaz:
https://doaj.org/article/0384a0bbccb94a6687dbc4436a17947b
Autor:
Alessandro Niccolai, Alfredo Nespoli
Publikováno v:
Forecasting, Vol 2, Iss 4, Pp 488-504 (2020)
Very-short-term photovoltaic power forecast, namely nowcasting, is gaining increasing attention to face grid stability issues and to optimize microgrid energy management systems in the presence of large penetration of renewable energy sources. In ord
Externí odkaz:
https://doaj.org/article/9ca88bd15c2f4d00aa6a4718ce3f5740
Autor:
Emanuele Ogliari, Alfredo Nespoli, Marco Mussetta, Silvia Pretto, Andrea Zimbardo, Nicholas Bonfanti, Manuele Aufiero
Publikováno v:
Forecasting, Vol 2, Iss 4, Pp 410-428 (2020)
The increasing penetration of non-programmable renewable energy sources (RES) is enforcing the need for accurate power production forecasts. In the category of hydroelectric plants, Run of the River (RoR) plants belong to the class of non-programmabl
Externí odkaz:
https://doaj.org/article/eec7e303be094ea7ad04d5757f450ec6
Publikováno v:
IEEE Access, Vol 8, Pp 194428-194440 (2020)
Energy systems around the world are undergoing substantial changes, with an increasing penetration of Renewable Energy Sources. For this reason, the availability of a pool of suitable forecasting models specific for the needed time horizon and task i
Externí odkaz:
https://doaj.org/article/e9dd3af9f95f4184b0748273fec27dbb
Publikováno v:
Energies, Vol 15, Iss 24, p 9433 (2022)
Solar radiation is by nature intermittent and influenced by many factors such as latitude, season and atmospheric conditions. As a consequence, the growing penetration of Photovoltaic (PV) systems into the electricity network implies significant prob
Externí odkaz:
https://doaj.org/article/d61cef84cd854a4e95cdafa0e12d8491