{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T07:09:29Z","timestamp":1763536169582,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T00:00:00Z","timestamp":1688342400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,3]],"date-time":"2023-07-03T00:00:00Z","timestamp":1688342400000},"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":[[2023,7,3]]},"DOI":"10.1109\/codit58514.2023.10284151","type":"proceedings-article","created":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T17:46:12Z","timestamp":1698169572000},"page":"2061-2066","source":"Crossref","is-referenced-by-count":11,"title":["Data-Based Solar Radiation Forecasting with Pre-Processing Using Variational Mode Decomposition"],"prefix":"10.1109","author":[{"given":"Saida","family":"El Bakali","sequence":"first","affiliation":[{"name":"ERERA, ENSAM, Mohammed V University,Rabat,Morocco"}]},{"given":"Hamid","family":"Ouadi","sequence":"additional","affiliation":[{"name":"ERERA, ENSAM, Mohammed V University,Rabat,Morocco"}]},{"given":"Fouad","family":"Giri","sequence":"additional","affiliation":[{"name":"Normandie University, UNICAEN, ENSICAEN, LAC,Caen,France,14000"}]},{"given":"Saad","family":"Gheouany","sequence":"additional","affiliation":[{"name":"ERERA, ENSAM, Mohammed V University,Rabat,Morocco"}]},{"given":"J.","family":"El-Bakkouri","sequence":"additional","affiliation":[{"name":"LESE, ENSEM, Hassan II University,Casablanca,Morocco"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.3390\/w15071265","article-title":"A stacking ensemble model of various machine learning models for daily runoff forecasting","volume":"15","author":"mingshen","year":"2023","journal-title":"WATER"},{"key":"ref12","first-page":"3035700","article-title":"A blind source separation method using denoising strategy based on iceemdan and improved wavelet threshold","volume":"2022","author":"paolo","year":"2022","journal-title":"Mathematical Problems in Engineering"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1109\/TSP.2013.2288675","article-title":"Variational mode decomposition","volume":"62","author":"konstantin","year":"2014","journal-title":"IEEE Transactions on Signal Processing"},{"key":"ref14","first-page":"302","article-title":"Q-learning-based optimization of smart home's wireless sensors network lifetime","volume":"13","author":"jrhilifa","year":"2023","journal-title":"International Journal of Renewable Energy Research-IJRER"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.04.188"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s11771-021-4618-9","article-title":"A hybrid decomposition-boosting model for short-term multi-step solar radiation forecasting with narx neural network","volume":"28","author":"hao","year":"2021","journal-title":"Journal of Central South University of Technology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.119887"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/01430750.2018.1490349"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/ce\/zkac082"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2990123"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122812"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1063\/1.5110223"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2017.07.002"},{"journal-title":"The solar radiation data website","year":"0","key":"ref18"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2022.07.041"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117912"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3062764"},{"key":"ref4","first-page":"61","author":"mahdi","year":"2020","journal-title":"Using artificial neural networks to predict solar radiation for duhok city iraq"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2023.113022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2021.09.113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115167"}],"event":{"name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","start":{"date-parts":[[2023,7,3]]},"location":"Rome, Italy","end":{"date-parts":[[2023,7,6]]}},"container-title":["2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10284032\/10284045\/10284151.pdf?arnumber=10284151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:01:23Z","timestamp":1699902083000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10284151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,3]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/codit58514.2023.10284151","relation":{},"subject":[],"published":{"date-parts":[[2023,7,3]]}}}