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Elektromreža Srbije initiates procurement for AI-based study on optimizing electricity loss forecasting

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Elektromreža Srbije (EMS) has announced a public procurement for the development of a study aimed at creating a module for forecasting electricity losses using artificial intelligence.

According to the technical specifications outlined in the procurement documentation, EMS, as the operator of Serbia’s transmission system, is responsible for purchasing electricity to compensate for losses in the transmission network. To optimize procurement costs, it is crucial to minimize discrepancies between the forecasted hourly values and the actual calculated hourly losses in the system.

The study is intended to address the evolving electricity market in Serbia, as the country integrates into regional and European markets during the green transition and aims for climate neutrality. EMS must be well-prepared to compete in the market to secure electricity at acceptable prices. Furthermore, the procurement of electricity to compensate for losses must be as accurate as possible to ensure the security and stability of the system.

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Forecasting electricity losses is a complex task influenced by numerous variables, which makes it a challenge to generate precise predictions. The forecasts need to be made for day D (the day the forecast is intended for) by day D-1 (the day before) and must be completed at least 45 minutes before the deadline for submitting a day-ahead offer to the SEEPEX electricity market.

The study focuses on forecasting losses in the transmission system of Serbia, excluding the transmission system in Kosovo and Metohija. The goal is to enhance the accuracy and efficiency of EMS’s operations by leveraging artificial intelligence in loss prediction.

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