History of changes to: Generating value from smart electricity meter data
Date Action Change(s) User
Nov. 27, 2023, 2:12 p.m. Added 35 {"external_links": []}
Nov. 20, 2023, 2:02 p.m. Added 35 {"external_links": []}
Nov. 13, 2023, 1:33 p.m. Added 35 {"external_links": []}
Nov. 6, 2023, 1:31 p.m. Added 35 {"external_links": []}
Aug. 14, 2023, 1:30 p.m. Added 35 {"external_links": []}
Aug. 7, 2023, 1:31 p.m. Added 35 {"external_links": []}
July 31, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 24, 2023, 1:35 p.m. Added 35 {"external_links": []}
July 17, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 10, 2023, 1:25 p.m. Added 35 {"external_links": []}
July 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
June 26, 2023, 1:25 p.m. Added 35 {"external_links": []}
June 19, 2023, 1:27 p.m. Added 35 {"external_links": []}
June 12, 2023, 1:29 p.m. Added 35 {"external_links": []}
June 5, 2023, 1:33 p.m. Added 35 {"external_links": []}
May 29, 2023, 1:27 p.m. Added 35 {"external_links": []}
May 22, 2023, 1:28 p.m. Added 35 {"external_links": []}
May 15, 2023, 1:31 p.m. Added 35 {"external_links": []}
May 8, 2023, 1:36 p.m. Added 35 {"external_links": []}
May 1, 2023, 1:27 p.m. Added 35 {"external_links": []}
April 24, 2023, 1:34 p.m. Added 35 {"external_links": []}
April 17, 2023, 1:29 p.m. Added 35 {"external_links": []}
April 10, 2023, 1:24 p.m. Added 35 {"external_links": []}
April 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
Jan. 28, 2023, 11:08 a.m. Created 43 [{"model": "core.projectfund", "pk": 25983, "fields": {"project": 3172, "organisation": 4, "amount": 243327, "start_date": "2011-06-30", "end_date": "2013-01-31", "raw_data": 41029}}]
Jan. 28, 2023, 10:52 a.m. Added 35 {"external_links": []}
April 11, 2022, 3:46 a.m. Created 43 [{"model": "core.projectfund", "pk": 18087, "fields": {"project": 3172, "organisation": 4, "amount": 243327, "start_date": "2011-06-30", "end_date": "2013-01-31", "raw_data": 15091}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 69041, "fields": {"project": 3172, "organisation": 4469, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 69040, "fields": {"project": 3172, "organisation": 4471, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 69039, "fields": {"project": 3172, "organisation": 4470, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 69038, "fields": {"project": 3172, "organisation": 41, "role": "PARTICIPANT_ORG"}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 69037, "fields": {"project": 3172, "organisation": 4471, "role": "LEAD_ORG"}}]
April 11, 2022, 3:46 a.m. Created 40 [{"model": "core.projectperson", "pk": 42665, "fields": {"project": 3172, "person": 4858, "role": "PM_PER"}}]
April 11, 2022, 1:47 a.m. Updated 35 {"title": ["", "Generating value from smart electricity meter data"], "description": ["", "\nThe rollout of smart electricity meters heralds an explosion in the quantity and resolution of meter data: 500Bn consumption datapoints annually contrasts with the current volume of some 100M meter readings. If leveraged effectively the resulting dataset can support the transition to a low carbon economy by improving the efficiency, sophistication and spatiotemporal disaggregation of system management, from load prediction and demand-side management (DSM) to system balancing. This project will enable the electricity industry to make the required business sense of the data. Using the now finalised Energy Demand Research Project (EDRP) smart meter database it will develop scaleable new approaches to these large volumes of data by: (i) linking to other datasets to add dimensions to the EDRP data; (ii) building an environment for interrogating, analysing, visualising and reporting on patterns in the data. The system will be designed to address a set of identified industry business needs, such as: (a) improved demand prediction algorithms at arbitrary spatiotemporal scales; (b) prediction and verification of distributed DSM interventions; (c) identification of system state signatures for use in automated DSM; (d) visualisation of load profiles to assist network planning and management.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
April 11, 2022, 1:47 a.m. Added 35 {"external_links": [12461]}
April 11, 2022, 1:47 a.m. Created 35 [{"model": "core.project", "pk": 3172, "fields": {"owner": null, "is_locked": false, "coped_id": "ff846b6b-96f7-4ec8-b7a1-8efbf44a0f48", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 15077, "created": "2022-04-11T01:35:53.307Z", "modified": "2022-04-11T01:35:53.307Z", "external_links": []}}]