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Innovative Power Operating Center Management Exploiting Big Data Techniques Michelangelo Ceci UNIBA
| Content Provider | CiteSeerX |
|---|---|
| Author | Orabona, Via Italy, Bari Cassavia, Nunziato Corizzo, Roberto Dicosta, Pietro Malerba, Donato Maria, Gaspare Masciari, Elio Pastura, Camillo |
| 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. 1. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
