Zobrazeno 1 - 10
of 413
pro vyhledávání: '"Fasiolo A"'
Estimating a distribution given access to its unnormalized density is pivotal in Bayesian inference, where the posterior is generally known only up to an unknown normalizing constant. Variational inference and Markov chain Monte Carlo methods are the
Externí odkaz:
http://arxiv.org/abs/2407.15687
Electricity load forecasting is a necessary capability for power system operators and electricity market participants. The proliferation of local generation, demand response, and electrification of heat and transport are changing the fundamental driv
Externí odkaz:
http://arxiv.org/abs/2301.10090
Forecasts of regional electricity net-demand, consumption minus embedded generation, are an essential input for reliable and economic power system operation, and energy trading. While such forecasts are typically performed region by region, operation
Externí odkaz:
http://arxiv.org/abs/2211.07451
Computer simulations have proven a valuable tool for understanding complex phenomena across the sciences. However, the utility of simulators for modelling and forecasting purposes is often restricted by low data quality, as well as practical limits t
Externí odkaz:
http://arxiv.org/abs/2210.06564
Autor:
Bjørn O. Eriksen, Matteo Fasiolo, Ulla D. Mathisen, Trond G. Jenssen, Vidar T. N. Stefansson, Toralf Melsom
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-4 (2024)
Externí odkaz:
https://doaj.org/article/091acb8c3f754d7dab28c6a457700c79
Autor:
Sola-Leyva, Alberto, Jabalera, Ylenia, Jimenez-Carretero, Monica, Lázaro, Marina, Pozo-Gualda, Tamara, García-Vargas, Pedro J., Luque-Navarro, Pilar M., Fasiolo, Alberto, López-Cara, Luisa C., Iglesias, Guillermo R., Paz Carrasco-Jiménez, María, Jiménez-López, Concepción
Publikováno v:
In Bioorganic Chemistry October 2024 151
Publikováno v:
SciPost Phys. 17, 004 (2024)
Quantum sensors can show unprecedented sensitivities, provided they are controlled in a very specific, optimal way. Here, we consider a spin sensor of time-varying fields in the presence of dephasing noise, and we show that the problem of finding the
Externí odkaz:
http://arxiv.org/abs/2112.14998
In the context of smart grids and load balancing, daily peak load forecasting has become a critical activity for stakeholders of the energy industry. An understanding of peak magnitude and timing is paramount for the implementation of smart grid stra
Externí odkaz:
http://arxiv.org/abs/2112.04492
Thul et al. (2020) called attention to problems that arise when chronometric experiments implementing specific factorial designs are analysed with the generalized additive mixed model (GAMM), using factor smooths to capture trial-to-trial dependencie
Externí odkaz:
http://arxiv.org/abs/2105.13786
Autor:
Browell, Jethro, Fasiolo, Matteo
The increasing penetration of embedded renewables makes forecasting net-load, consumption less embedded generation, a significant and growing challenge. Here a framework for producing probabilistic forecasts of net-load is proposed with particular at
Externí odkaz:
http://arxiv.org/abs/2103.10335