Energytime-series forecastingpilot/research-stage with promising operational relevance; published results show strong predictive performance but source does not confirm full production deployment.

AI-based river level forecasting for flood-risk and reservoir scenarios in the Rio Negro basin

An AI model learns from past river height and rainfall changes to predict how river levels may rise or fall, helping operators and authorities see flood-risk scenarios earlier.

10.0

Quality
Score

Executive Brief

Business Problem Solved

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Value Drivers

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Technical Analysis

Model Strategy

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Data Strategy

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Part of Application

GridPulse Forecast

1 use cases in this application

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Source

https://www.gov.br/cemaden/pt-br/assuntos/noticias-cemaden/modelo-de-monitoramento-hidrologico-pelo-metodo-inteligencia-artificial-apresenta-precisao-dos-cenarios-de-risco-de-inundacao