Gridraven’s journey began when we noticed energy providers worldwide struggling to secure grid connections. The grid is already at capacity in areas rich with solar and wind, stalling the energy transition. While building new power lines requires an estimated $1 trillion annually, the real constraint is time — decades that we simply can’t afford.
At Gridraven, our mission is to unlock the hidden capacity of power grids. Economic growth depends on access to energy, but grid infrastructure remains one of the biggest bottlenecks. Connecting new power plants to the grid often requires costly and time-consuming grid upgrades. According to the IEA, building a new transmission line takes an average of a decade.
The existing grid isn’t fully utilized because power lines, capable of carrying up to four times more power under cold or windy conditions, are operated conservatively due to a lack of precise weather data. Our technology changes that. Studies show that integrating weather data could boost grid capacity by a third annually, accelerating affordable energy by a decade. The key is to make this additional capacity available for day-ahead energy markets so that the lowest-cost power plants can be dispatched.
Power lines are often limited by the sections that are in locations sheltered from the wind. Existing weather forecasts fail to provide the accuracy grid operators need to safely increase capacity across the entire network. That’s why Gridraven developed Claw, a cutting-edge machine learning system that optimizes the grid’s capacity based on actual weather conditions with meter-scale precision. Nobody else can predict wind accurately enough to unlock this potential in entire networks and all voltage levels.
Our solution is versatile, working both on-premises and in the cloud to suit diverse operational needs. Unlike traditional approaches, Gridraven offers zero hardware implementation, making it quick to deploy and scale.
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