TimeGPT cut GridStor's operational expenses by reducing reliance on costly AWS instances
Integrated API delivers forecasts in seconds, significantly accelerating decision-making
Enhanced long-term and hourly forecasts provided GridStor with reliable data for strategic planning
GridStor, headquartered in Portland, Oregon, is a rapidly growing developer, owner, and operator of grid-scale battery energy storage systems (BESS). The company focuses on integrating renewable energy sources to enhance grid reliability and efficiency
Backed by Goldman Sachs Asset Management, GridStor is well-capitalized to pursue its mission of building a more resilient and sustainable energy infrastructure across the United States. In the past year, it expanded aggressively into ERCOT and CAISO regions, including a new 150 MW/300 MWh facility in Texas
To succeed in increasingly volatile electricity markets, GridStor needed a forecasting solution that could keep pace with changing dynamics. With Nixtla, GridStor transformed its ability to make financially sound, data-backed decisions in real time
In today's renewable-driven power markets, electricity prices are more volatile than ever. With daily price changes up to 20× greater than stock market fluctuations, and intraday price spikes exceeding 1000% volatility, accurately forecasting these dynamics is mission-critical for energy storage operators like GridStor
GridStor partnered with Nixtla to leverage TimeGPT, an AI-driven time series forecasting engine. By integrating vast supply-demand data from ERCOT markets and renewable output into TimeGPT's models, GridStor gained the ability to predict price fluctuations with far greater precision and horizon than traditional methods