Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review

S. Daliento, A. Chouder, P. Guerriero*, A. Massi Pavan, A. Mellit, R. Moeini, P. Tricoli

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

84 Citations (Scopus)
242 Downloads (Pure)


A wide literature review of recent advance on monitoring, diagnosis, and power forecasting for photovoltaic systems is presented in this paper. Research contributions are classified into the following five macroareas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar systems, with emphasis on temporal horizons of specific applications; (iv) thermal analysis, mostly with reference to thermal images captured by means of unmanned aerial vehicles; (v) power converter reliability especially focused on residual lifetime estimation. The literature survey has been limited, with some exceptions, to papers published during the last five years to focus mainly on recent developments.

Original languageEnglish
Article number1356851
JournalInternational Journal of Photoenergy
Publication statusPublished - 11 Jan 2017

ASJC Scopus subject areas

  • Chemistry(all)
  • Atomic and Molecular Physics, and Optics
  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)


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