Gridpocket SAS services

We use individual approach, that is based on a customer’s segmentation. We consider that everyone has its own motivation factors, such having fun, learning or collecting reward points. Firstly, our objective is to challenge people to achieve their objectives by following these specific motivation factors. Secondly, the efficiency indicators value the efforts of individual client. Finally, this green nudge approach motivates energy consumers in his energy efficiency efforts and strengthens its loyalty to his energy supplier. This is based on win-win benefits, proposed to both energy consumer and energy utility. Our architecture is capable to determine important socio-economic factors, that are important for consumption profiles definition and individual motivation approach.

GridPocket takes part in the smart grid revolution and specialises in the development of innovative value added energy services for utility companies. Our "white label" value creation platform is designed to create a real customer engagement, optimize operational costs and integrate new uses and technologies.

The market for Electric Vehicles is growing at an unprecedented rate. Car makers are expanding the production of electric vehicles to meet the rising demand. EV models are becoming more affordable by the day, which in turn fuels the adoption even further. The charging infrastructure has been growing along. How will the shift to electric vehicles impact the grid? Are the utility companies prepared to accommodate the extra load? What will happen to peak demand? The generalisation of electric cars in our environment will create the need of EV smart charging application for electric grid stability maintenance:

This PowerVAS platform is extended by GridPocket and third party applications for data analysis, open data services, electric vehicle charging, renewable energy production and demand response control. The key functionality of the demand response energy management solution is based on the real-time optimisation of the local energy production, consumption and storage. The optimisation can be adjusted to maximise economic profit or to minimise CO₂ emissions according to user requirements. The solution is and can adapt to fluctuations in the energy demand or production, subject to dynamic price tariffs and changing weather conditions.