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Pedro Correa, Suncast's Machine Learning Engineer:
"Artificial Intelligence will play a leading role in meeting the new technical standard for renewable energy forecasting."
On the verge of the entry into force of the modification of the technical standard, Suncast's technology expert, Pedro Correa, highlighted the importance that Artificial Intelligence will have in the adaptation of the regulation and spoke of the power of this tool, which he described as an "ally" of the new text to be followed.
Santiago, Chile.- Last year, the National Energy Commission published the official draft of the Technical Standard for Coordination and Operation - chapter Operation Programming - which would replace the current Technical Standard for Safety and Quality of Service. The text, which is expected to come into force this year, includes an update on the sending of forecasts. The modifications show more stringent requirements for this item for the coordinates; a greater number of files to be sent and maximum admissible errors of difference between the forecasts and the actual production.
Within these requirements, solar PV plants would have to increase the number of forecast files as they currently send three forecasts per day, which would change to 26 forecast files to be sent daily to the National Electric Coordinator.
Suncast, a Chilean technology company in charge of providing predictive models for renewable energies, has been working since its beginnings with the implementation of Artificial Intelligence, a benefit that has allowed it to rise and mark its own stamp within the market of variable renewable energies -solar and wind- and at the same time, has given it the advantage of updating its system in advance to address the new requirements of the new Technical Standard.
According to Pedro Correa, Machine Learning Engineer at Suncast, Artificial Intelligence will play a leading role so that power plants can adjust to new regulations or new requirements with ease and reduce the risk of receiving warnings from the Superintendence of Electricity and Fuels (SEC).
How does Artificial Intelligence work in energy forecasting?
"Artificial intelligence has proven to give excellent results and to be superior to most traditional methods," explained Pedro Correa, who in his opinion supported the results of improved forecast performance obtained by Suncast during 2022, in which he assured that both in the solar and wind sectors, it was possible to reduce the forecasting error.
Suncast's representative described the functioning of Artificial Intelligence as an "ally" in the field of energy and assured that because this technology is based on large amounts of data, during the training of Suncast's models, they learn to predict in detail the production of each plant.
"As time goes on, our algorithms are gathering more information and with that they become much more robust. This is a great advantage, as it assures us that the forecasting error will continue to decrease,"
"As time goes on, our algorithms are gathering more information and with that they become much more robust. This is a great advantage, as it assures us that the forecasting error will continue to decrease," he explained.
To conclude, Correa assured that the common objective of applying Artificial Intelligence together with the new regulations is: "To achieve a good performance and comply with the new requirements. How do you do that? with Artificial Intelligence".