History of changes to: Creating virtual demand response assets using predictive modelling, with special application to Thailand
Date Action Change(s) User
Feb. 13, 2024, 4:20 p.m. Created 43 [{"model": "core.projectfund", "pk": 63696, "fields": {"project": 11901, "organisation": 11085, "amount": 143928, "start_date": "2018-02-01", "end_date": "2019-03-31", "raw_data": 179875}}]
Jan. 30, 2024, 4:24 p.m. Created 43 [{"model": "core.projectfund", "pk": 56533, "fields": {"project": 11901, "organisation": 11085, "amount": 143928, "start_date": "2018-02-01", "end_date": "2019-03-31", "raw_data": 156838}}]
Jan. 2, 2024, 4:15 p.m. Created 43 [{"model": "core.projectfund", "pk": 49348, "fields": {"project": 11901, "organisation": 11085, "amount": 143928, "start_date": "2018-02-01", "end_date": "2019-03-31", "raw_data": 134854}}]
Dec. 5, 2023, 4:24 p.m. Created 43 [{"model": "core.projectfund", "pk": 42099, "fields": {"project": 11901, "organisation": 11085, "amount": 143928, "start_date": "2018-02-01", "end_date": "2019-03-31", "raw_data": 102782}}]
Dec. 5, 2023, 4:24 p.m. Created 41 [{"model": "core.projectorganisation", "pk": 119352, "fields": {"project": 11901, "organisation": 14998, "role": "PARTICIPANT_ORG"}}]
Nov. 27, 2023, 2:14 p.m. Added 35 {"external_links": []}
Nov. 21, 2023, 4:39 p.m. Created 43 [{"model": "core.projectfund", "pk": 34807, "fields": {"project": 11901, "organisation": 11085, "amount": 143928, "start_date": "2018-02-01", "end_date": "2019-03-31", "raw_data": 63168}}]
Nov. 21, 2023, 4:39 p.m. Created 41 [{"model": "core.projectorganisation", "pk": 101867, "fields": {"project": 11901, "organisation": 14997, "role": "PARTICIPANT_ORG"}}]
Nov. 21, 2023, 4:39 p.m. Created 41 [{"model": "core.projectorganisation", "pk": 101866, "fields": {"project": 11901, "organisation": 14998, "role": "LEAD_ORG"}}]
Nov. 20, 2023, 2:05 p.m. Updated 35 {"title": ["", "Creating virtual demand response assets using predictive modelling, with special application to Thailand"], "description": ["", "\nDuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON\n\n(South Korea) to understand how Demand Response and distributed solar power can be combined to\n\ncontribute to the growth in solar production.\n\nUnder Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily\n\nreduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when\n\nit shines), but aggregated Demand Response can help balance out solar power's variability.\n\nThe consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into\n\nlarge predictable loads which can be offered for demand response. This can then be assessed in trials, by\n\ntesting various demand response schemes.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
Nov. 20, 2023, 2:05 p.m. Added 35 {"external_links": [48172]}
Nov. 20, 2023, 2:05 p.m. Created 35 [{"model": "core.project", "pk": 11901, "fields": {"owner": null, "is_locked": false, "coped_id": "f49d3199-da84-4801-9a45-6cfa240ed96b", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 63151, "created": "2023-11-20T13:44:21.112Z", "modified": "2023-11-20T13:44:21.112Z", "external_links": []}}]