This article proposes a methodology to monitor the energy performance of photovoltaic (PV) plants without using the environmental parameters, i.e., when a weather station is absent, as it occurs in small-to-medium-size PV plants. This approach is valid for multiarray PV plants and exploits the mutual comparison of the energy performance of the arrays constituting the PV plant. This strategy is based on seasonal data and several statistical tools: violin graphs [constituted by box plot and kernel functions (KFs)], skewness, and kurtosis.
Seasonal Energy Data and Violin Graphs to Monitor the Energy Performance of Multiarray Photovoltaic Plants: A Comprehensive Study / Vergura, S.. - In: IEEE INDUSTRY APPLICATIONS MAGAZINE. - ISSN 1077-2618. - 29:2(2023), pp. 70-79. [10.1109/MIAS.2022.3214017]
Seasonal Energy Data and Violin Graphs to Monitor the Energy Performance of Multiarray Photovoltaic Plants: A Comprehensive Study
Vergura S.
2023
Abstract
This article proposes a methodology to monitor the energy performance of photovoltaic (PV) plants without using the environmental parameters, i.e., when a weather station is absent, as it occurs in small-to-medium-size PV plants. This approach is valid for multiarray PV plants and exploits the mutual comparison of the energy performance of the arrays constituting the PV plant. This strategy is based on seasonal data and several statistical tools: violin graphs [constituted by box plot and kernel functions (KFs)], skewness, and kurtosis.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
