{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:56:56Z","timestamp":1759773416645,"version":"3.41.2"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,2,1]],"date-time":"2018-02-01T00:00:00Z","timestamp":1517443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,2]]},"DOI":"10.1109\/isgt.2018.8403376","type":"proceedings-article","created":{"date-parts":[[2018,7,9]],"date-time":"2018-07-09T18:58:26Z","timestamp":1531162706000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["Multi-level wavelet decomposition based day-ahead solar irradiance forecasting"],"prefix":"10.1109","author":[{"given":"Zhao","family":"Zhen","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding, 071003, China"}]},{"given":"Xiaozhong","family":"Wan","sequence":"additional","affiliation":[{"name":"Dispatch Control Center, North-West China Grid Company Limited, Xi'an, 710000, China"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Operation and Control of Renewable Energy &amp; Storage Systems, China Electric Power Research Institute, Beijing, 100192, China"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding, 071003, China"}]},{"given":"Hui","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding, 071003, China"}]},{"given":"Zengqiang","family":"Mi","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, North China Electric Power University, Baoding, 071003, China"}]}],"member":"263","reference":[{"key":"ref10","first-page":"161","article-title":"Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation","volume":"25","author":"he","year":"2016","journal-title":"IEEE Trans Power Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.11.058"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.12.033"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.12.130"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.12.082"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"2585","DOI":"10.1049\/iet-gtd.2015.0911","article-title":"Short-term wind speed forecasting using the wavelet decomposition and AdaBoost technique in wind farm of East China","volume":"10","author":"cui","year":"2016","journal-title":"IET Gener Transm Distrib"},{"key":"ref16","article-title":"Wavelets: A tutorial in theory and applications","author":"chui","year":"1992","journal-title":"Wavelet Anal its Appl"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.10.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.01.103"},{"journal-title":"2015 PV-related statistics&#x201D; China National Energy Administration","year":"0","key":"ref3"},{"key":"ref6","first-page":"1","article-title":"Dynamic Price Vector Formation Model Based Automatic Demand Response Strategy for PV-assisted EV Charging Station","author":"chen","year":"2017","journal-title":"IEEE Trans Smart Grid"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MPE.2015.2461351"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2016.06.069"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.04.081"},{"journal-title":"Renewables 2016 Global Status Report","year":"2016","author":"seyboth","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2014.11.017"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.3390\/en5051355","article-title":"Short-term solar irradiance forecasting model based on artificial neural network using statistical feature parameters","volume":"5","author":"wang","year":"2012","journal-title":"Energies"}],"event":{"name":"2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","start":{"date-parts":[[2018,2,19]]},"location":"Washington, DC, USA","end":{"date-parts":[[2018,2,22]]}},"container-title":["2018 IEEE Power &amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8396924\/8403318\/08403376.pdf?arnumber=8403376","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T18:08:55Z","timestamp":1754071735000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8403376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/isgt.2018.8403376","relation":{},"subject":[],"published":{"date-parts":[[2018,2]]}}}