Coleshill, UK, 16th March 2018
Energeo Ltd and Bournemouth Borough Council (BBC) will be using high resolution satellite imagery and machine learning analytics to identify suitable locations for Electric Vehicle Charge Points (EVCP’s) throughout the Borough. The project – titled CLEAN EV - is supported by the UK Space Agency as part of their ‘Space for Smarter Government Programme’, and will seek to utilise innovative machine led analytical techniques to address EVCP related issues such as availability of off-street parking, and on-street charge point safety and access.
“CLEAN EV is a truly innovative project addressing issues which Local Authorities are facing right now”, commented Ian Dee, CEO of Energeo. “By utilising very high resolution satellite imagery and machine learning, we aim to facilitate Bournemouth Borough Council’s EVCP roll out by proactively and pre-emptively identifying suitable locations for the required infrastructure”.
David Lawrence, Bournemouth Borough Council Energy Engineer said “The number of electric vehicles on the road will increase significantly in the coming years, which will require on-street EVCPs to be installed. However, there are a number of challenges that need to be addressed before the Council can install EVCPs on a widespread basis. This project will provide an evidence base to help overcome these challenges, and will make the town wide installation of on-street EVCPs a more realistic proposition”.
CLEAN EV, which will run until October 2018, will see the resulting data delivered via an intuitive Software as a Service (SaaS) online platform, removing the need for BBC to purchase 3rd party software or host and manage data in house. The SaaS delivery mechanism will also allow BBC stakeholders across departments to visualise, contextualise and interrogate the results of Energeo Ltd’s analysis against other data layers such as building solar potential.
To learn more about the project, or to discover how Energeo can support your organisation, email email@example.com
Energeo Ltd utilise geospatial Big Data, Open Data, and innovative automated analytics including Machine Learning, to provide clients with unique intelligence into existing energy performance and the future potential for renewable energy or sustainability – whether an individual site, a portfolio of locations, or entire urban areas.
Energeo combine geospatial analysis of the physical and structural environment with socio-demographic and consumer intelligence, creating proprietary insights at a higher level of granularity, which are utilised to accelerate the transition to a low carbon economy by:-
- Enabling and supporting the creation of clean energy strategies
- Facilitating energy project identification and implementation
- Streamlining lead generation and promotional/marketing campaigns
- Supporting public engagement and awareness programmes
- Understanding microgeneration impact on traditional energy infrastructure
- Informing property retrofit and fuel poverty mitigation plans
Energeo’s unique approach to product and service creation and development has seen the organisation acquire a formidable reputation for innovation, collaborating with the European Space Agency, Innovate UK, UK Space Agency, and the Satellite Applications Catapult.