{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T14:51:40Z","timestamp":1785336700895,"version":"3.55.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Dutch National E-Infrastructure with SURF Cooperative","award":["EINF-6262"],"award-info":[{"award-number":["EINF-6262"]}]},{"name":"NWO Align4Energy Project","award":["NWA.1389.20.251"],"award-info":[{"award-number":["NWA.1389.20.251"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1109\/tsg.2025.3581472","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T13:34:39Z","timestamp":1750772079000},"page":"4252-4265","source":"Crossref","is-referenced-by-count":21,"title":["EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6745-8281","authenticated-orcid":false,"given":"Nan","family":"Lin","sequence":"first","affiliation":[{"name":"Intelligent Electrical Power Grids Group, Delft University of Technology, Delft, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3183-4705","authenticated-orcid":false,"given":"Peter","family":"Palensky","sequence":"additional","affiliation":[{"name":"Intelligent Electrical Power Grids Group, Delft University of Technology, Delft, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0852-0169","authenticated-orcid":false,"given":"Pedro P.","family":"Vergara","sequence":"additional","affiliation":[{"name":"Intelligent Electrical Power Grids Group, Delft University of Technology, Delft, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3385366"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2023.3281890"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2024.100457"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3078394"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015049"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3158235"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3204282"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en12050849"},{"key":"ref9","article-title":"A flow-based model for conditional and probabilistic electricity consumption profile generation and prediction","author":"Xia","year":"2024","journal-title":"arXiv:2405.02180"},{"key":"ref10","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow"},{"key":"ref11","article-title":"Towards principled methods for training generative adversarial networks","author":"Arjovsky","year":"2017","journal-title":"arXiv:1701.04862"},{"key":"ref12","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref13","first-page":"8780","article-title":"Diffusion models beat GANs on image synthesis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dhariwal"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00387"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2024.3360874"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.124694"},{"key":"ref18","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol"},{"key":"ref19","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2023","journal-title":"arXiv:1606.08415"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01166"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511802256"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd:20070280"},{"key":"ref23","volume-title":"Mass Transportation Problems","author":"Rachev","year":"1998"},{"key":"ref24","volume-title":"Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial","author":"Schofield","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01156-1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/INCoS.2014.22"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2024.101338"},{"key":"ref28","article-title":"Decoupled weight decay Regularization","author":"Loshchilov","year":"2019","journal-title":"arXiv:1711.05101"},{"key":"ref29","first-page":"1","article-title":"DPM-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2794541"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/OAJPE.2021.3061648"},{"key":"ref33","article-title":"Faraday: Synthetic smart meter generator for the smart grid","author":"Chai","year":"2024","journal-title":"arXiv:2404.04314"},{"key":"ref34","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","journal-title":"arXiv:1802.03426"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165411\/11134545\/11049025.pdf?arnumber=11049025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T04:29:52Z","timestamp":1755923392000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11049025\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":34,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2025.3581472","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9]]}}}