AUGMENTED CLASSROOM

AI for beginners

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Private AI & Safety

Difference between public and private AI Student and Teacher safeguarding Data handling, compliance and soverignty

Get What You Pay For

Appears rapid, but is typically thrown together. Results in poor security, poor compliance - your students and your data or systems could be compromised in the background. Minimal support typically available. This approach means the vendors didnt write the code, dont know it, and struggle to support it. vs Fully architected design, compliance and governance. Fully assured, ground-up coding. Full service wrap, minimal hallucinations

Engagement

Harnessing the power of aggregated open data through ground-breaking technology, we are working with partners to establish world-class operational control and analytics systems.

The
Challenge

The projected growth of Electric Vehicle charging points and heat pumps are set to grow exponentially over the next 8-9 years.

As a result, there is an increasing need for electricity grid Distribution Network Operators (DNOs or DSOs) to be aware of the locations of these devices, and to know their status at any given time.

There is a clear need for a whole of market aggregation service that will interact with a multitude of Operators and Vendors to extract utilisation data, reformat it, filter by region and provide the output to DSOs. The data should be as near to real-time as possible.

Plugin Power is bridging the gap between the emerging needs of the energy industry and solution provision from major IT service vendors.
This comes at a time when the decades old power industry faces nothing short of a digital revolution in almost every country.

The
Solution

By harnessing the power of Artificial Intelligence learning, your team can more accurately predict utilisation modelling and peak planning. Through our work with industry standards groups globally, we aim to enable your team to load balance clusters of chargers and heat-pumps remotely.

• Through a combination of DSO requirements, experience and from automated learnt behaviour, our AI system will project peaks based on events, weather forecasts, social patterns.
• The more users, the more data, the more accurate the projections will become.

Engagement of EV drivers to assist with pro active load balancing.

The future of live
charger data

By harnessing the power of Artificial Intelligence learning, your team can more accurately predict utilisation modelling and peak planning. Through our work with industry standards groups globally, We aim to enable your team to load balance clusters of chargers remotely….

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