The future of energy is shifting from fossil fuels to renewable sources, so for a smart city to thrive, it needs more intelligent energy usage, both in production and consumption. We are assuming a scenario full of wind and solar generation, with are highly variable, and we want to give instruction to the users, to they use the energy more efficiently.

Information: This web uses machine learning to predict the demand and production of energy in the next hours, given this prediction, it asks the people to increase or decrease their demand.

Instruction: We have three possible options:

  • Increase demand.
  • Reduce demand.
  • Highly reduce demand.

The users have to follow the instruction and, for example, start or stop charging their electric cars, or warming water, or the air conditioner, or the irrigation systems, etc.

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