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AI4CZC

AI4CZC aims to build a web application to provide accurate key elements allowing Cross Zonal Capacity (CZC) estimations for Transmission System Operators (TSOs) in the European energy market.

Categories

Business Category
Energy
Technical Category
AI services

Can you describe your project in a few words?

AI4CZC aims to build a web application to provide accurate key elements allowing Cross Zonal Capacity (CZC) estimations for Transmission System Operators (TSOs) in the European energy market. During this project, we will build models to help the Montenegro TSO to estimate CZC 48h in advance.

Who will help implement the AI solution?

The project will be led by Inceptive, a French SME specialising in developing Machine Learning solutions, and CGES, the Montenegro TSO

.

What is the AI solution the project plans to implement?

During AI4CZC, we plan to build an AI platform using Inceptive's Machine Learning platform, Igloo. This platform will automatically retrieve data from valuable sources, process it and generate predictions using supervised learning models. Then the platform will provide interfaces to access the live forecasts and exploit the models. An API will allow the integration of the models on TSO Information Systems, and a GUI, including a dashboard, will provide human-readable interfaces to assert the correctness of the forecasts.