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HydroForecast, a product of Upstream Tech, is a next-generation global water forecast that uniquely blends hydrologic theory with machine learning for accurate, safe, and efficient water resource management. It offers guidance on multiple horizons, ranging from a historical reconstruction of flows in ungauged watersheds, to short, seasonal and long-term streamflow predictions. HydroForecast operates in 13 countries across 5 continents and is trusted by dozens of leading hydropower producers, water utilities, and government agencies.
Upstream Tech will be showcasing HydroForecast, a forecasting solution that leverages AI to revolutionize hydroelectric power management. We will demonstrate how HydroForecast empowers companies across the hydropower value chain to maximize revenues, modernize operations, and improve overall efficiency.
In terms of modernizing hydropower operations, many of the great challenges today are due to increasingly inaccurate forecasts that rely on historical and stable trends and data. Due to climate change disrupting these patterns, hydropower operators can no longer confidently make the many operational decisions that rely on these forecasts. This is where modern technology like machine learning and “Narrow AI” come in. "Narrow AI" is a lesser-applauded form of Artificial Intelligence that is great for doing specific tasks, and it's a great solution in this situation. AI models, when tuned alongside hydrological principles and science, can outperform traditional forecasts by taking into account the disruptions brought on by climate change. HydroForecast is one such application of narrow AI already at work tackling this problem.
As part of ENGIE’s startup portfolio, we are looking forward to sharing our learnings and best practices with the industry while developing and advancing partnerships in the region!
ENGIE and HydroForecast are pioneering the industry by revolutionizing AI-driven management of hydroelectric power. ENGIE, a global leader in renewable energy, has partnered with Upstream Tech to harness predictive modeling to optimize hydroelectric plant operations. HydroForecast's cutting-edge platform utilizes machine learning algorithms to forecast hydrological conditions with unprecedented accuracy, enabling ENGIE to optimize energy production, improve operational stability, and enhance overall efficiency. Together, we are spearheading a new era of sustainable energy management, driving advancements in renewable energy technology and shaping the future of the industry.
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Upstream’s next challenge is also our biggest opportunity. As deep learning weather forecast models are becoming available and showing skill and speed benefits over current models, we are adapting HydroForecast to utilize the new weather forecasts and evaluate them. These advances together may result in a significant step-change of accuracy in hydrologic prediction that we’re excited to lead.
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