And it does so in a controlled and safe manner, which is necessary to operate in the market, thanks to the artificial intelligence and the Internet of Things (IoT).
Beyond this, new machine learning algorithms have been added, which can predict the consumption and generation of each installation and allow the system to prioritize the consumption over the generation or vice versa.
Therefore, the solution is able not only to optimize the operation of the facilities in terms of efficiency but also to maximize the economic benefit of the marketing of the energy.
The electrical system is suffering a transformation as a result of the growth in renewable energies, the arrival of the electric vehicle and the distributed energy storage (or dispersed, as in photovoltaic installations and batteries in buildings).
The consumers will be increasingly involved in the electrical system through implementing energy efficiency measures, the demand management (this is, actively modifying the energy consumption in order to reduce costs) or generating and storing energy in their homes.
Santiago Blanco, innovation manager of the Smart Life area in Ayesa, indicates that “Ayesa has developed Gridpilot in response of this scenario and to place on the market the required technology to enable new business models with regard to these distributed energy resources”.
Moreover, Blanco says that the smart cities “need to look for new ways forward regarding their sustainability, with more renewable energies, electric mobility and greater efficiency, generating energy where it is consumed”.