Forecasting energy storage revenue trends and opportunities in France and Iberia
In this webinar, Clean Horizon experts will share:
Methodologies used to build robust and accurate models for reliable price forecasting. They will show the different data engineering techniques used before training models, and then present different models that are used.
Explanation of the different main modelling approaches used to build the models: the statistical approach and the Machine Learning approach. You will also learn how Clean Horizon assesses the quality of the models, backtests, and makes assessments on long-term forecasts.
Key principles for building the assumptions applied to modelling of future market evolution including: electricity mix, flexibility asset development, interconnections and commodity prices. A special focus will be made on the methodology used to estimate future battery deployment and its impact on the capacity reservation and energy activation markets such as the aFRR energy market.