In the past decade, there has been a substantial increase of
grid-feeding photovoltaic applications, thus raising the importance
of solar electricity in the energy mix. This trend is expected to
continue and may even increase. Apart from the high initial
investment cost, the fluctuating nature of the solar resource
raises particular insertion problems in electrical networks. Proper
grid managing demands short- and long-time forecasting of solar
power plant output.
"Weather modeling and forecasting of PV systems operation" is
focused on this issue. Models for predicting the state of the sky,
nowcasting solar irradiance and forecasting solar irradiation are
studied and exemplified. Statistical as well as artificial
intelligence methods are described. The efficiency of photovoltaic
converters is assessed for any weather conditions.
"Weather modeling and forecasting of PV systems operation" is
written for researchers, engineers, physicists and students
interested in PV systems design and utilization.
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