- Improving efficiency and offering the best possible service.
- Recognizing patterns, energy leakages, and health of the devices - predictive analytics for predictive maintenance.
- Advanced optimization of AI grids in combination with AI storage units and making timely decisions for energy allocation.
- Eliminating the challenge of balancing different renewable energy sources due to their diversity.
- Due to the high expenses of innovative energy grids, the transition will be lengthily, and therefore the need for improved integration during the transition period will be imperative.
- Better integration and management of distributed energy from microgrids in order to balance the energy flow within the main power grid.
- Flexibility in adjusting the supply with the demand. Also, automated switch off coupled with intelligent storage units can be adjusted based on supply.
- Based on vast amounts of collected data, it is easier to gain insight into potential energy consumptions and target the new consumer market.
- Personal measurement against the provider measurement, so one can leverage their AI data against the provider, and improving efficiency in power exchange with the main grid.
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