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BluWave-ai's smart grid optimization products: EV Everywhere, Energy Storage Autopilot, Data Center Autopilot and EV Fleet Orchestrator use a suite of AI Smart Grid Predictors. By collecting and analyzing real-time data from devices and sensors deployed in the smart grid, our Smart Grid Predictors accurately forecast energy load, renewable generation, electricity market pricing and peak energy demand conditions.
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BluWave-ai Second Generation AI Predictors
Load Predictor: Offers advanced capabilities for accurate load forecasting. Whether it's intra-day, day-ahead or longer predictions, our Load Predictor takes into account a multitude of factors, including multiple weather sources, holidays, and other relevant data.
By employing sophisticated time series machine learning algorithms, our Load Predictor delivers precise load predictions, enabling clients to optimize energy distribution, plan resource allocation, and make informed decisions for efficient grid management. With its adaptability and comprehensive data analysis, our Load Predictor ensures optimized load scheduling and improved operational efficiency.
Wind Predictor: Leverages advanced capabilities to accurately forecast wind generation for optimized energy management of renewables. Combining rules-based modeling of equipment specifications and weather forecasts, our Wind Predictor adapts seamlessly to new locations. With this enhanced capability, clients can proactively optimize their wind assets, maximize energy generation, and make informed decisions for efficient grid management.
Solar Predictor: Empowers customers with precise solar generation forecasts. Our Solar Predictor combines rules-based modeling of equipment specifications, weather observations and forecasts, with state-of-the-art time series machine learning predictions. Easily adaptable to new locations, our Solar Predictor accurately predicts solar generation based on historical data, weather patterns, and other relevant factors. This advanced capability enables clients to optimize the utilization of solar assets, plan energy distribution, and make informed decisions for sustainable grid management.
Price, Peak & GA Predictors: Our Price Predictor uses real-time electricity market and grid supply and demand data to provide localized energy pricing predictions. The Peak Predictor uses sophisticated AI models to forecast periods of high demand on the grid when electricity prices surge, leading to higher costs for consumers. By predicting these critical peaks, large energy consumers can strategically reduce their energy consumption and optimize their operations, avoiding costly charges associated with peak electricity usage.
In Ontario, Canada, Global Adjustment (GA) charges are a significant portion of electricity costs for users that participate in pricing plans for large energy consumers. These costs are determined based on a consumer’s share of the Ontario-wide demand during a number of periods over a year where the Ontario demand is the highest (coincident peaks) and can represent a significant charge for consumers that use more energy in those periods. Our GA Predictor provides an indication of a likely GA coincident peak so that users can lower their energy demand for that period as a priority. It is adaptable to other jurisdictions and energy markets that use similar schemes.
Bluwave-ai’s Smart Grid Predictors have been deployed for use in energy grids and industrial operations in Japan, India, UAE, Europe, Canada and USA. They have been trained to a variety of weather, societal and economic conditions using patented prediction model warm-start technology uniquely owned by BluWave-ai.