FOTOVOLTAIK TIZIMLARNING ISHONCHLILIGINI KO‘P OMILLI EKSPLUATATSION PARAMETRLAR ASOSIDA SUN’IY INTELLEKT YORDAMIDA BAHOLASH VA PROGNOZLASH USULINI ISHLAB CHIQISH
Keywords:
solar photovoltaic system, reliability, artificial intelligence, prognostics, monitoring, fault diagnosis, machine learning, multi-factor analysis.Abstract
The paper examines the assessment and forecasting of the reliability of solar photovoltaic systems based on multi-factor operational parameters. A conceptual approach is proposed that integrates environmental, electrical, technical-operational and time-related factors within a unified information space. A methodological chain is developed for assessing the current integrated reliability indicator R(t) and forecasting its future value R̂(t+Δt) using artificial intelligence methods.
