
Dexter provides machine learning-based forecasts for renewable energy generation, processing over 1,000 GB of data daily from 10+ weather models. Its forecasts account for extreme weather impacts like icing and high wind shutdowns, helping reduce operational risks. A RESTful API enables easy integration and scaling across large asset portfolios.

Dexter is a forecasting platform for renewable energy that uses machine learning to analyze data from over 10 weather models, including proprietary sources. It processes over 1,000 GB of forecast data daily and includes features to account for weather-related power losses. A RESTful API supports scalable integration across large asset portfolios.