[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122422-en":3,"doc-seo-122422-105":30,"detail-sidebar-cat-0-en-105":91},{"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},122422,962075114101,"Seraphina","https://ap-avatar.wpscdn.com/avatar/e000253a75eb197efd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780044092746381165",8,"Research & Report","Smart Green Energy Management for Campus - An Integrated Machine Learning and Reinforcement Learning Model","The growing need for energy efficiency and renewable integration drives sustainability efforts in modern campus environments. This work presents a smart green energy management system that combines a machine learning predictive model with reinforcement learning to optimize energy consumption and solar generation. Historical data from three campus buildings support short-term forecasting for both consumption and solar output. Results using XGBoost with RL achieve strong accuracy and are presented alongside a web-based interface for real-time monitoring and decision-making, reducing grid dependency.","San Jose State University  \nSJSU ScholarWorks  \nFaculty Research, Scholarly, and Creative Activity  \n2-1-2025  \nSmart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model  \nCharan Teja Madabathula San Jose State University  \nKunal Agrawal  \nSan Jose State University  \nVijen Mehta  \nSan Jose State University  \nSwathi Kasarabada  \nSan Jose State University  \nSai Srimai Kommamuri San Jose State University  \nSee next page for additional authors  \nFollow this and additional works at: [https://scholarworks.sjsu.edu/faculty_rsca](https://scholarworks.sjsu.edu/faculty_rsca)  \nRecommended Citation  \nCharan Teja Madabathula, Kunal Agrawal, Vijen Mehta, Swathi Kasarabada, Sai Srimai Kommamuri, Guannan Liu, and Jerry Gao. \"Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model\" Smart Cities (2025) . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)smartcities8010030  \nThis Article is brought to you for free and open access by SJSU ScholarWorks. It has been accepted for inclusion in Faculty Research, Scholarly, and Creative Activity by an authorized administrator of SJSU ScholarWorks. For more information, please contact [scholarworks@sjsu.edu](scholarworks@sjsu.edu).  \nAuthors  \nCharan Teja Madabathula, Kunal Agrawal, Vijen Mehta, Swathi Kasarabada, Sai Srimai Kommamuri, Guannan Liu, and Jerry Gao  \nThis article is available at SJSU ScholarWorks: [https://scholarworks.sjsu.edu/faculty_rsca/5972](https://scholarworks.sjsu.edu/faculty_rsca/5972)  \n7.0  \n11.2  \nArticle  \nSmart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement  \nLearning Model  \nCharan Teja Madabathula, Kunal Agrawal, Vijen Mehta, Swathi Kasarabada, Sai Srimai Kommamuri, Guannan Liu and Jerry Gao  \nSpecial Issue  \nBig Data and AI Services for Sustainable Smart Cities  \nEdited by  \nProf. Dr. Jerry Gao, Dr. Fanjing Meng, Dr. Iraklis Varlamis and Dr. Paul Townend  \n[https://doi.org/10.3390/smartcities8010030](https://doi.org/10.3390/smartcities8010030)  \nArticle  \nSmart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model  \nCharan Teja Madabathula 1, Kunal Agrawal 1, Vijen Mehta 1, Swathi Kasarabada 1, Sai Srimai Kommamuri 1, Guannan Liu 1, * and Jerry Gao 2, *  \nAcademic Editor: Pierluigi Siano  \nReceived: 11 November 2024  \nRevised: 22 January 2025  \nAccepted: 11 February 2025  \nPublished: 13 February 2025  \nCitation: Madabathula, C.T.;  \nAgrawal, K.; Mehta, V.; Kasarabada, S.; Kommamuri, S.S.; Liu, G.; Gao, J. Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model. Smart Cities 2025, 8, 30 . [https://doi.org/10.3390/](https://doi.org/10.3390/)[ ](https://doi.org/10.3390/)smartcities8010030  \nCopyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ([https://creativecommons.org/](https://creativecommons.org/)[ ](https://creativecommons.org/)[licenses/by/4.0/](licenses/by/4.0/)) .  \n1 Department of Applied Data Science, San Jose State University, San Jose, CA 95192, USA; [charanteja.madabathula@sjsu.edu](charanteja.madabathula@sjsu.edu) (C.T.M.); [kunal.agrawal@sjsu.edu](kunal.agrawal@sjsu.edu) (K.A.); [vijen.mehta@sjsu.edu](vijen.mehta@sjsu.edu) (V.M.); [swathi.kasarabada@sjsu.edu](swathi.kasarabada@sjsu.edu) (S.K.); [saisrimai.kommamuri@sjsu.edu](saisrimai.kommamuri@sjsu.edu) (S.S.K.)  \n2 Department of Computer Engineering, San Jose State University, San Jose, CA 95192, USA  \n* Correspondence: [guannan.liu@sjsu.edu](guannan.liu@sjsu.edu) (G.L.); [jerry.gao@sjsu.edu](jerry.gao@sjsu.edu) (J.G.)  \nHighlights  \nWhat are the main 􀀂ndings?  \n􀀏 A smart green energy management system integrating machine-learning model and reinforcement learning is proposed in this work to optimize e","cbCaioBTiHRujzs0","https://ap.wps.com/l/cbCaioBTiHRujzs0","pdf",1573184,1,18,"English","en",105,"# Highlights\n## Main findings and implications\n# Abstract\n# Keywords\n# Introduction","[{\"question\":\"What does the proposed Smart Green Energy Management for Campus system optimize?\",\"answer\":\"It optimizes energy consumption and solar generation for a campus setting using a combined machine learning and reinforcement learning approach.\"},{\"question\":\"How is the prediction model validated in the study?\",\"answer\":\"The system is trained and evaluated using historical data from three campus buildings, with performance reported using metrics such as RMSE, MAE, and MAPE.\"},{\"question\":\"What solution is provided to support real-time campus energy decisions?\",\"answer\":\"A web-based interface is proposed for real-time energy monitoring and decision-making, enabling users to forecast shortages and manage energy usage effectively.\"}]","Smart Green Energy Management for Campus - An Integrated Machine Learning and Reinforcement Learning Model | PDF",1785810545,45,{"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":86,"head_meta":88,"extra_data":90,"updated_unix":28},"smart-green-energy-management-for-campus-an-integrated-machine-learning-and-reinforcement-learning-model","",{"@graph":36,"@context":85},[37,54,68],{"@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/smart-green-energy-management-for-campus-an-integrated-machine-learning-and-reinforcement-learning-model/122422/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What does the proposed Smart Green Energy Management for Campus system optimize?","Question",{"text":75,"@type":76},"It optimizes energy consumption and solar generation for a campus setting using a combined machine learning and reinforcement learning approach.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How is the prediction model validated in the study?",{"text":80,"@type":76},"The system is trained and evaluated using historical data from three campus buildings, with performance reported using metrics such as RMSE, MAE, and MAPE.",{"name":82,"@type":73,"acceptedAnswer":83},"What solution is provided to support real-time campus energy decisions?",{"text":84,"@type":76},"A web-based interface is proposed for real-time energy monitoring and decision-making, enabling users to forecast shortages and manage energy usage effectively.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]