Products and services for smart grids and smart cities energy operators allowing to define the better control strategy and maximize self consumption
As responsible for the production-consumption balance in a smart grid (or smart city), you must anticipate the load and the production of your assets, to activate means of flexibility. We must therefore anticipate variations in solar and wind production, as well as consumption habits.
Based on precise weather observations and cutting-edge weather models as well as artificial intelligence, Steadysun’s forecasting and nowcasting products help you to anticipate power generation from renewables and electrical load for the minutes or days to come. These products along with the simulation studies represent a comprehensive and vital portfolio of products and services for smart grids and smart cities. They allow you to meet your grid operating challenges and ultimately continue to maintain the safety, quality and reliability of a sustainable electricity supply at the most affordable cost.
As a smart city or smart grid energy operator, you must also scale your system, to optimize the CAPEX / OPEX model. This sizing strongly depends on the predictability of the fatal energies.
Using simulators developed in collaboration with CEA-INES, the French National Institute dedicated to fatal energies, and using our knowledge on weather prediction, Steadysun sizing studies can respond to your problem.
Because you want to favor self-consumption or you have to manage a microgrid.
PRODUCTS AND SERVICES
Solar forecasts for the coming days, based on meteorological models, dedicated to avoiding penalties, planify and decrease spinning reserve and sell energy at better prices.
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Solar forecasts for the coming hours, based on satellite imagery, dedicated to avoiding penalties, planify and decrease spinning reserve and sell energy at better prices.
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Electricity load forecast for the coming hours and days, based on deep learning technologies.
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Studies to anticipate the meteorological impact on the grid during transition to renewable energies, solar and wind forecasts to reduce spinning reserve, and avoid grid instability.
Solar and wind portfolio production forecasts to sell electricity at the best price on energy market (SPOT), and to minimize the cost of imbalance penalties.
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