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Upstream Tech, modernizing operations for hydropower producers and utilities
Viva Technology 23/04/2024

Upstream Tech, modernizing operations for hydropower producers and utilities

Upstream Tech is an American technology company whose software products make cutting-edge remote sensing and machine learning technology accessible and easy to use, in order to accelerate the pace, scale, and impact of environmental work around the globe. Upstream Tech's products include Lens, a digital MRV platform that makes it easy to turn remote sensing data into decisions, and HydroForecast, a streamflow forecasting system that uniquely blends hydrologic theory with machine learning for accurate, safe, and efficient water resource management.  ENGIE New Ventures invested in Upstream Tech in November 2023. 

Upstream Tech will be present at Viva Technology alongside ENGIE, and Laura Read, Head of Product Strategy for HydroForecast answered our questions.

Can you tell us a few words about your company?

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. 


What will you present at Vivatech?
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. 
How is your solution innovative?
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.
What do you expect from this participation in Viva Technology alongside ENGIE?
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. 
If you were a historic innovation, what would it be? 
A bicycle They make transportation accessible and fun! Bikes introduced a new form of mobility to the world, and while they've been improved on over the years, they're still a fast and efficient way to get from place to place.
What will be your next challenge?
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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