https://wiki.cam.ac.uk/wiki/cl-design-projects/index.php?title=Energy_with_Social_Conscience&feed=atom&action=historyEnergy with Social Conscience - Revision history2024-03-29T09:33:45ZRevision history for this page on the wikiMediaWiki 1.39.4https://wiki.cam.ac.uk/wiki/cl-design-projects/index.php?title=Energy_with_Social_Conscience&diff=1491&oldid=prevafb21 at 13:41, 9 November 20162016-11-09T13:41:57Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:41, 9 November 2016</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>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.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Client: Yuichi Abe, [[Informetis]] <yuichi.abe@informetis.com></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>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 <ins style="font-weight: bold; text-decoration: none;">at the same time</ins>! 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.</div></td></tr>
</table>afb21https://wiki.cam.ac.uk/wiki/cl-design-projects/index.php?title=Energy_with_Social_Conscience&diff=1464&oldid=prevafb21: Created page with "Although electricity generation in the UK relies increasingly on renewables, these only provide low baseline capacity. To meet demand spikes, electricity companies must burn g..."2016-11-04T16:57:08Z<p>Created page with "Although electricity generation in the UK relies increasingly on renewables, these only provide low baseline capacity. To meet demand spikes, electricity companies must burn g..."</p>
<p><b>New page</b></p><div>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.</div>afb21