IoT strategies for smart meters and a heuristic model, which serve to detect disruptions, energy consumption, calculate customer billing and detect fraud (it is estimated that this costs the utilities millions of euros each year).
Smart Grids combined with Smart Cities, introducing new concepts such as Microgrids for sustainable building management.
Strategy to meet consumption needs in M2M systems, through the connected storage devices; e.g. the battery of an electric vehicle (EV) activating charging when energy prices are low or there is a risk of the charge cycle not being completed.
There will be further optimisation of power plant production, whether for natural gas power plants, wind turbines or large solar farms. This means that there will be sophisticated models to predict how cloud coverage affects solar energy production; or the effect of wind speed on the efficiency of a wind turbine.
The development of new predictive maintenance models and models for real-time energy trading in wholesale markets.
New strategies will be introduced to monitor transmission assets (drones).
Real-time collaborative strategy, where smart systems are used for demand management, which actively inform customers about peak demand pricing or a sudden network reliability problem.