Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Marino Marrocu"'
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Forecasting, Vol 4, Iss 4, Pp 845-865 (2022)
Rainfall forecasting plays a key role in mitigating environmental risks in urban areas, which are subject to increasing hydrogeological risk due to transformations in the urban landscape. We present a new technique for probabilistic precipitation now
Externí odkaz:
https://doaj.org/article/9fa1fd72ccbd48b1b19d00eebce76e5b
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Forecasting, Vol 2, Iss 2, Pp 194-210 (2020)
In this article, a nowcasting technique for meteorological radar images based on a generative neural network is presented. This technique’s performance is compared with state-of-the-art optical flow procedures. Both methods have been validated usin
Externí odkaz:
https://doaj.org/article/3fcbdbd5b1094cf99bcac01216721c95
Autor:
Luca Massidda, Marino Marrocu
Publikováno v:
Sensors, Vol 22, Iss 12, p 4481 (2022)
Estimating household energy use patterns and user consumption habits is a fundamental requirement for management and control techniques of demand response programs, leading to a growing interest in non-intrusive load disaggregation methods. In this w
Externí odkaz:
https://doaj.org/article/4dd9138efd4e43608e50c670525e419a
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1454 (2020)
Non-intrusive load monitoring (NILM) is the main method used to monitor the energy footprint of a residential building and disaggregate total electrical usage into appliance-related signals. The most common disaggregation algorithms are based on the
Externí odkaz:
https://doaj.org/article/979573f1af634d09bf13d05108460d39
Autor:
Luca Massidda, Marino Marrocu
Publikováno v:
Energies, Vol 11, Iss 12, p 3520 (2018)
The ability to predict consumption is an essential tool for the management of a power distribution network. The availability of an advanced metering infrastructure through smart meters makes it possible to produce consumption forecasts down to the le
Externí odkaz:
https://doaj.org/article/2260ed4429074c9d8f918e4e0827920a
Autor:
Luca Massidda, Marino Marrocu
Publikováno v:
Energies, Vol 11, Iss 7, p 1763 (2018)
The inclusion of photo-voltaic generation in the distribution grid poses technical difficulties related to the variability of the solar source and determines the need for Probabilistic Forecasting procedures (PF). This work describes a new approach f
Externí odkaz:
https://doaj.org/article/7bf97e6c762f4fd788f03d8bc089de96
Autor:
Luca Massidda, Marino Marrocu
Publikováno v:
Energies, Vol 10, Iss 12, p 2171 (2017)
The balance between production and consumption in a smart grid with high penetration of renewable sources and in the presence of energy storage systems benefits from an accurate load prediction. A general approach to load forecasting is not possible
Externí odkaz:
https://doaj.org/article/dec84195563746e1acc7643efe17d441
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Energies, Vol 10, Iss 12, p 1967 (2017)
An accurate forecast of the power generated by a wind turbine is of paramount importance for its optimal exploitation. Several forecasting methods have been proposed either based on a physical modeling or using a statistical approach. All of them rel
Externí odkaz:
https://doaj.org/article/0d5199c71821468d8e9d52790a5ff5de
Autor:
Luca Massidda, Marino Marrocu
Publikováno v:
Forecasting
Volume 2
Issue 2
Pages 11-210
Forecasting, Vol 2, Iss 11, Pp 194-210 (2020)
Volume 2
Issue 2
Pages 11-210
Forecasting, Vol 2, Iss 11, Pp 194-210 (2020)
In this article, a nowcasting technique for meteorological radar images based on a generative neural network is presented. This technique&rsquo
s performance is compared with state-of-the-art optical flow procedures. Both methods have been valid
s performance is compared with state-of-the-art optical flow procedures. Both methods have been valid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e2c3564bd7a30f5d8cc40d67092d6d0
https://doi.org/10.3390/forecast2020011
https://doi.org/10.3390/forecast2020011
Autor:
Marino Marrocu, Luca Massidda
Publikováno v:
Sensors; Volume 22; Issue 12; Pages: 4481
Estimating household energy use patterns and user consumption habits is a fundamental requirement for management and control techniques of demand response programs, leading to a growing interest in non-intrusive load disaggregation methods. In this w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aacd749f61d7657c434a42705e2a6edb
https://doi.org/10.3390/s22124481
https://doi.org/10.3390/s22124481