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 sev- eral challenges, such as facing with the rate data are provided by sensors, the heterogeneity of the data collected, power plants effi- ciency, as well as uncontrollable factors, such as weather conditions and user consumption profiles. In this paper we describe Vi-POC (Virtual Power Operating Center), a project conceived to assist en- ergy producers and decision makers in the energy market. In this paper we present the Vi-POC project and how we face with chal- lenges posed by the specific application. The solutions we propose have roots both in big data management and in stream data mining.

Innovative power operating center management exploiting big data techniques.

CECI, MICHELANGELO;Corizzo R;Malerba D;
2014

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 sev- eral challenges, such as facing with the rate data are provided by sensors, the heterogeneity of the data collected, power plants effi- ciency, as well as uncontrollable factors, such as weather conditions and user consumption profiles. In this paper we describe Vi-POC (Virtual Power Operating Center), a project conceived to assist en- ergy producers and decision makers in the energy market. In this paper we present the Vi-POC project and how we face with chal- lenges posed by the specific application. The solutions we propose have roots both in big data management and in stream data mining.
978-1-4503-2627-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/106339
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