HAI - Smart Grids Optimization. Framework

Описание: Smart grid optimization is about making the power grid "the best it can be.“

It necessary to find the perfect balance between reliability, availability, efficiency and cost.

To improve the utilization of current infrastructure and defer investments in new generation, transmission, and distribution facilities.

To reduce the overall cost of delivering power to end users.

To improve the reliability of power grid.

To reduce resource usage and emissions of greenhouse gases and other pollutants.

Decision-Making Artificial Intelligence, DM-AI, is the engine that transforms conventional electricity grids into smart grids, enabling the transition from a unidirectional flow of energy to a dynamic, bidirectional, and self-adaptive system.

The pillars of DM-AI address three critical challenges in managing the smart grids:

Demand and Load Forecasting: Deep learning algorithms analyze historical patterns, such as weather and user behavior, to predict demand peaks with greater than 90% accuracy, avoiding overloads.

Integration of Renewable Energies: DM-AI compensates for the intermittency of solar and wind energy by optimizing power distribution and the use of energy storage systems, based on advanced weather forecasts and complex optimization algorithms.

Demand-Side Management: Automated systems incentivize users to shift their consumption to off-peak hours through dynamic real-time pricing, achieving cost reductions of up to 20-30%

   • HAI -  Smart Grids Optimization.  Framework