Statiscal processing of data coming from a photovoltaic plant for accurate energy planning

Authors

  • Annalisa Di Piazza Consiglio Nazionale delle Ricerche Institute on Intelligent Systems for the Automation Author
  • Maria Carmela Di Piazza Consiglio Nazionale delle Ricerche Institute on Intelligent Systems for the Automation Author
  • Gianpaolo Vitale Consiglio Nazionale delle Ricerche Institute on Intelligent Systems for the Automation Author

DOI:

https://doi.org/10.24084/repqj06.400

Keywords:

Photovoltaic energy, Distributed generation, Planning and control of the power system take into account the renewable energy, Models and simulation of the power systems, Software tools

Abstract

This paper presents a statistical approach to manage sampled data coming from a photovoltaic installation. The proposed statistical methods are the kmeans clustering and the normal density probability distribution. The use of the proposed methods allows to simplify the problem of the PV plant energy assessment respect to the option of obtaining the desired information by managing a large amount of experimental observations. The proposed methods represent useful tools for an appropriate energy planning in distributed generation systems.

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Published

2024-01-15

Issue

Vol. 6 No. 1 (2008)

Section

Articles