Energy with Social Conscience: Difference between revisions
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Although electricity generation in the UK relies increasingly on renewables, these only provide low baseline capacity. To meet demand spikes, electricity companies must burn gas and oil. In principle, smart meters would allow a social consensus to save the planet – we just can’t afford 10 million people getting out of bed to switch on their kettles! Your client has smart technology already detecting household current consumption. Your task is to create machine-learning appliance detection, real-time data infrastructure and front-end services that could minimise fossil fuel consumption across the whole country, while keeping everyone happy through consensus pricing markets and social media. | Client: Yuichi Abe, [[Informetis]] <yuichi.abe@informetis.com> | ||
Although electricity generation in the UK relies increasingly on renewables, these only provide low baseline capacity. To meet demand spikes, electricity companies must burn gas and oil. In principle, smart meters would allow a social consensus to save the planet – we just can’t afford 10 million people getting out of bed to switch on their kettles at the same time! Your client has smart technology already detecting household current consumption. Your task is to create machine-learning appliance detection, real-time data infrastructure and front-end services that could minimise fossil fuel consumption across the whole country, while keeping everyone happy through consensus pricing markets and social media. | |||
Latest revision as of 13:41, 9 November 2016
Client: Yuichi Abe, Informetis <yuichi.abe@informetis.com>
Although electricity generation in the UK relies increasingly on renewables, these only provide low baseline capacity. To meet demand spikes, electricity companies must burn gas and oil. In principle, smart meters would allow a social consensus to save the planet – we just can’t afford 10 million people getting out of bed to switch on their kettles at the same time! Your client has smart technology already detecting household current consumption. Your task is to create machine-learning appliance detection, real-time data infrastructure and front-end services that could minimise fossil fuel consumption across the whole country, while keeping everyone happy through consensus pricing markets and social media.
