https://m2.mtmt.hu/ eng 2026-07-27 16:01 JournalArticle 35496214 APPROVED true 0 false 2025-11-04T00:55:28.165+0000 2024-11-02T11:13:25.228+0000 2024-11-02T11:13:13.835+0000 true 10095063 Szőke Zsolt /api/admin/10095063 Admin Zsolt Szőke (admin) true 2025-06-17T16:57:14.420+0000 2025-06-17T16:57:14.420+0000 false false true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Article (Journal Article) 101 true 10000059 true 1 /api/category/1 Category Scientific true 1 Ge, Bi true false /api/journal/10077646 REVIEWED STRATEGIC PLANNING FOR ENERGY AND THE ENVIRONMENT 1048-5236 1546-0126 true false 10077646 false 10077646 true 1048-5236 1546-0126 Journal FOREIGN 2024 939 960 939 22 2024 Renewable energy is an energy resource that can be used continuously. At present, international oil prices continue to rise, the problem of global climate change is becoming increasingly prominent, and renewable energy and clean energy have ushered in a new round of development opportunities. Based on the new gray prediction model, this paper forecasts the consumption of renewable energy and further analyzes the sustainable development of renewable energy. In this paper, the combinatorial optimization method of cumulative order, background value coefficient, and initial conditions, parameter optimization combination, parameter combinatorial optimization process of the gray prediction model, and parameter optimization mechanism based on the PSO algorithm are proposed, and the reduction error analysis is carried out. The consumption of wind power and photovoltaic renewable energy is forecasted, and three different forecasting methods as exponential smoothing method, time series analysis method, and new gray forecasting method are compared, and the wind speed, irradiation intensity, and load are forecasted by these three different forecasting methods. Compared with the time series analysis method and the exponential smoothing method, the RMSE of the new grey prediction method is reduced by 127.12% and 160.59%, and the error rate is reduced by 3.16% and 4%, respectively. Based on the consumption forecast of renewable energy, this paper analyzes its sustainability from three directions economy, resource supply, and environment, and finally gives energy policy recommendations. true 2024 true true true false false NONE 2025-11-04 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 Q4 450320 false false false false 2025-01-31T11:13:25.106+0000 1 28 0 2 0 false Language 10002 /api/language/10002 English Angol English true 2 true PersonAuthorship 121145449 /api/authorship/121145449 Ge, Bi 1 0.5 true false false Ge Bi true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 121145450 /api/authorship/121145450 Shang, Zhenyan 2 0.5 false true false Shang Zhenyan true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PublicationIdentifier 27747836 /api/publicationidentifier/27747836 DOI: 10.13052/spee1048-5236.4347 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.13052/spee1048-5236.4347 https://doi.org/10.13052/spee1048-5236.4347 false true PublicationIdentifier 27747837 /api/publicationidentifier/27747837 Other URL: https://journals.riverpublishers.com/index.php/SPEE/article/view/26267 PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://journals.riverpublishers.com/index.php/SPEE/article/view/26267 https://journals.riverpublishers.com/index.php/SPEE/article/view/26267 false true Keyword 1013562 /api/keyword/1013562 Renewable energy true 1013562 true Keyword 1013598 /api/keyword/1013598 Energy policy true 1013598 true Keyword 1013636 /api/keyword/1013636 solar power true 1013636 true Keyword 1520073 /api/keyword/1520073 Sustainability analysis true true Keyword 3615405 /api/keyword/3615405 new grey prediction model true true PredatorRating 11742923 /api/predatorrating/11742923 Norwegian Register for Scientific Journals:450320 STRATEGIC PLANNING FOR ENERGY AND THE ENVIRONMENT 1048-5236 1546-0126 RatingType 10033 /api/ratingtype/10033 Norwegian Register for Scientific Journals norveg true true 450320 true true SjrRating 11463938 /api/sjrrating/11463938 sjr:Q4 (2024) Scopus - Environmental Science (miscellaneous) STRATEGIC PLANNING FOR ENERGY AND THE ENVIRONMENT 1048-5236 1546-0126 363 1.0 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 2301 /api/classificationexternal/2301 Scopus - Environmental Science (miscellaneous) true 2301 true Q4 DIRECT true true /api/publication/35496214 Ge Bi et al. A New Grey Prediction Model and Its Application in Renewable Energy Consumption. (2024) STRATEGIC PLANNING FOR ENERGY AND THE ENVIRONMENT 1048-5236 1546-0126 2024 939-960<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Ge Bi </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Shang Zhenyan </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35496214" target="_blank">A New Grey Prediction Model and Its Application in Renewable Energy Consumption</a></div> <div> <span class="journal-title">STRATEGIC PLANNING FOR ENERGY AND THE ENVIRONMENT</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1048-5236">1048-5236</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1546-0126">1546-0126</a>)</span>: <span class="journal-volume">2024</span> <span class="page"> pp 939-960 </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.13052/spee1048-5236.4347" target="_blank" href="https://doi.org/10.13052/spee1048-5236.4347"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://journals.riverpublishers.com/index.php/SPEE/article/view/26267" target="_blank" href="https://journals.riverpublishers.com/index.php/SPEE/article/view/26267"> Other URL </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35496214&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 35496214</span> | <span class="status-data status-APPROVED"> Published </span> Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2024.11.02. 12:13 Zsolt Szőke (admin) </div> </div></div>