{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T08:58:26Z","timestamp":1762073906009,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T00:00:00Z","timestamp":1667865600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Researchers Supporting Program at King Saud University","award":["RSP-2021\/323"],"award-info":[{"award-number":["RSP-2021\/323"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>With the development of restructured power markets, the profit-making competitive business environment has emerged. With the help of different advanced technologies, generating companies are taking decisions regarding trading electricity with imperfect information about marketing operating conditions. The forecasting of the market clearing price (MCP) is a potential issue in these markets. Early information on the MCP can be a proven beneficial tool for accumulating profit. In this work, a local grey prediction model based on a cubic polynomial function is presented to estimate the MCP with the help of historical data. The mathematical framework of this grey model was established and evaluated for different market conditions and databases. The comparison between traditional grey models and some advanced grey models reveals that the proposed model yields accurate results.<\/jats:p>","DOI":"10.3390\/axioms11110627","type":"journal-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T02:34:52Z","timestamp":1667961292000},"page":"627","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Local Grey Predictor Based on Cubic Polynomial Realization for Market Clearing Price Prediction"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1820-8024","authenticated-orcid":false,"given":"Akash","family":"Saxena","sequence":"first","affiliation":[{"name":"School of Computing Science and Engineering (SCSE), VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Sehore 466116, Madhya Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4492-1082","authenticated-orcid":false,"given":"Adel Fahad","family":"Alrasheedi","sequence":"additional","affiliation":[{"name":"Statistics and Operations Research Department, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5760-0216","authenticated-orcid":false,"given":"Khalid Abdulaziz","family":"Alnowibet","sequence":"additional","affiliation":[{"name":"Statistics and Operations Research Department, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7103-8872","authenticated-orcid":false,"given":"Ahmad M.","family":"Alshamrani","sequence":"additional","affiliation":[{"name":"Statistics and Operations Research Department, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shalini","family":"Shekhawat","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur 302017, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5895-2632","authenticated-orcid":false,"given":"Ali Wagdy","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,8]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Introduction to grey system theory","volume":"1","author":"Deng","year":"1989","journal-title":"J. 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