Abstract

The problem of accurately predicting the energy production from renewable sources has recently received an increasing attention from both the industrial and the research communities. It presents several challenges, such as facing with the rate data are provided by sensors, the heterogeneity of the data collected, power plants efficiency, as well as uncontrollable factors, such as weather conditions and user consumption profiles. In this paper we describe emph{Vi-POC} (Virtual Power Operating Center), a project conceived to assist energy producers and, more in general decision makers in the energy market. In this paper we present the Vi-POC project and how we face with challenges posed by the specific application domain. The solutions we propose have roots both in big data management and in stream data mining.

Autore Pugliese

• Malerba Donato

Tutti gli autori

• MALERBA D.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2014

ISSN

Non Disponibile

ISBN

978-1-4503-2627-8

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

3

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile