[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119056-en":3,"doc-seo-119056-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119056,4398048950312,"Violet","https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908",8,"Research & Report","Machine learning applications for the optimization of renewable energy systems - Doctor of Philosophy dissertation","This dissertation investigates how machine learning can improve the optimization of renewable energy systems, linking data-driven methods with engineering decision-making. It frames renewable energy deployment in the broader context of Saudi Arabia, including energy security, energy policy, economics, social acceptance, and supply-demand considerations. The study extends from climate impact assessment for optimal allocation and dispatch under the 2030 Vision to cost-effective control strategies for wastewater treatment using electrochemical systems and machine learning to maximize renewable energy utilization.","Machine learning applications for the optimization of renewable energy systems  \nby  \nAbdullah M. Maghfuri  \nA dissertation submitted to the graduate faculty  \nin partial fulfillment of the requirements for the degree of  \nDOCTOR OF PHILOSOPHY  \nMajor: Mechanical Engineering  \nProgram of Study Committee:  \nMark Mba Wright, Major Professor  \nHu, Chao  \nHu, Shan  \nWang, Yu  \nGül E. Kremer  \nThe student author, whose presentation of the scholarship herein was approved by the study committee's program, is solely responsible for the content of this dissertation. The Graduate Collegewill ensure this dissertation is globally accessible and will not permit alterations after a  \ndegree is confirmed.  \nIowa State University Ames, Iowa  \n2023  \nCopyright © Abdullah M. Maghfuri, 2023. All rights reserved.  \nii  \nTABLE OF CONTENTS  \nPage  \nLIST OF FIGURES ........................................................................................................................iv  \n[LIST OF TABLES..........................................................................................................................vi](LIST OF TABLES..........................................................................................................................vi)  \n[NOMENCLATURE ...............................](NOMENCLATURE ...............................)...................................................................................... vii  \nACKNOWLEDGMENTS ..............................................................................................................ix  \nABSTRACT ...................................................................................................................................xi  \nCHAPTER 1. GENERAL INTRODUCTION ................................................................................ 1  \nLiterature review of renewable energy systems in Saudi Arabia.................................................2  \nBackground ..................................................................................................................................3  \nEconomics ................................................................................................................................3  \nEnergy security and energy policy ...........................................................................................4  \nSocial acceptance .....................................................................................................................5  \nSupply and demand locations...................................................................................................6  \nRenewable Energy Systems .........................................................................................................6  \nSolar Energy .............................................................................................................................6  \nWind Energy ............................................................................................................................7  \nGeothermal Energy ..................................................................................................................7  \nBiomass energy ........................................................................................................................8  \nHydropower Energy .................................................................................................................8  \nChemical Storage .....................................................................................................................9  \nEconomic analysis of renewable energy technologies .............................................................9  \nConclusion ................................................................................................................................. 10  \nReferences ...........................................................................................................................","cbCaivzs6n1cD6ju","https://ap.wps.com/l/cbCaivzs6n1cD6ju","pdf",12050727,1,117,"English","en",105,"# Table of Contents\n## List of Figures\n## List of Tables\n## Nomenclature\n## Acknowledgments\n## Abstract\n## Chapter 1. General Introduction\n## Chapter 2. Comparative Study of Climate Impacts on the Optimal Allocation and Dispatch of Renewable Energy Systems Under Saudi Arabia’s 2030 Vision\n## Chapter 3. Electrochemical Systems and Machine Learning for Cost-Effective Wastewater Treatment to Maximize Renewable Energy","[{\"question\":\"What is the main topic of the dissertation?\",\"answer\":\"The dissertation focuses on using machine learning to optimize renewable energy systems and improve related operational and deployment decisions.\"},{\"question\":\"Which real-world context and research themes are addressed?\",\"answer\":\"It covers renewable energy system background topics such as economics, energy security and policy, social acceptance, and supply-demand locations, with a specific emphasis on Saudi Arabia’s 2030 Vision.\"},{\"question\":\"How are different application areas handled across chapters?\",\"answer\":\"Chapters include climate-impact-driven optimization for allocation and dispatch, and a separate line that applies machine learning with electrochemical systems to support cost-effective wastewater treatment aimed at maximizing renewable energy.\"}]","Machine learning applications for the optimization of renewable energy systems - Doctor of Philosophy dissertation | PDF",1785722120,295,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"machine-learning-applications-for-the-optimization-of-renewable-energy-systems-doctor-of-philosophy-dissertation","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-applications-for-the-optimization-of-renewable-energy-systems-doctor-of-philosophy-dissertation/119056/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04","2026-08-03",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What is the main topic of the dissertation?","Question",{"text":76,"@type":77},"The dissertation focuses on using machine learning to optimize renewable energy systems and improve related operational and deployment decisions.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Which real-world context and research themes are addressed?",{"text":81,"@type":77},"It covers renewable energy system background topics such as economics, energy security and policy, social acceptance, and supply-demand locations, with a specific emphasis on Saudi Arabia’s 2030 Vision.",{"name":83,"@type":74,"acceptedAnswer":84},"How are different application areas handled across chapters?",{"text":85,"@type":77},"Chapters include climate-impact-driven optimization for allocation and dispatch, and a separate line that applies machine learning with electrochemical systems to support cost-effective wastewater treatment aimed at maximizing renewable energy.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]