Forecasting Methods and Measurements of Forecasting Errors for Renewable Energy Sources

Dear Colleagues,

Modern electrical distribution systems are characterized by the simultaneous presence of different distributed resources that actively participate in the system operation and that can contribute to enhance the system efficiency and to reduce greenhouse gas emissions. However, the inclusion of distributed resources into the networks makes the planning and operation of the distribution systems more complex and new research contributions are essential to guarantee their correct behavior.

Among distributed resources, renewable energy systems, such as photovoltaic power plant and wind farms, are of particular interest, thanks to the technical, environmental, and economic benefits their uses involve. Unfortunately, uncertainties related to the intermittent nature of solar and wind energy have a negative impact on the efficient, reliable, and secure operation of electrical power systems. Then, accurate methods for forecasting wind and photovoltaic generation, as well as appropriate measures to quantify the goodness of the previsions, are mandatory for the development of electrical systems.

We invite the submission of original and unpublished contributions discussing forecasting methods and measurements of errors for renewable energy sources. Review papers will also be taken in consideration for publication. Papers involving cooperation among researchers from academia, industries, and governments will be welcome to foster interactions among stakeholders.

Prof. Dr. Guido Carpinelli
Dr. Anna Rita Di Fazio
Guest Editors

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