[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124726-en":3,"doc-seo-124726-105":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":4,"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},124726,8796095360427,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Machine Learning Techniques for Prediction of Climate Change in Nagpur using Various Optimized Models","Global temperatures are being altered by climate change, and Nagpur experiences a mixed wet–dry climate with the driest conditions in summer. Because the city is moving toward more extreme climate scenarios, it is important to monitor key climate parameters. This study applies machine learning to predict Nagpur’s temperature, comparing Logistic Regression, Random Forest Classifier, and an Auto Regressive approach to identify an optimum model for forecast needs.","Machine Learning Techniques for Prediction of Climate Change in Nagpur using various Optimized  \nModels  \n1Bharati Masram , 2ArchanaTiwari , 3Nita Nimbarte, 4Rachana Sawadh, 5Sanjay Balamwar  \n1Assistant Professor ,Department of Electronics & Telecommunication Engineering ,  \nYeshwantarao Chavan College of Enginering  \nNagpur, India  \n[e-mail: bharatimasram@gmail.com](e-mail: bharatimasram@gmail.com)  \n2Assistant Professor ,Department of Electronics Engineering ,  \nShri Ramdeobaba College of Enginering  \nNagpur, India  \ne-mail: [tiwariar@rknec.edu](tiwariar@rknec.edu)  \n3Assistant Professor ,Department of Electronics & Telecommunication Engineering ,  \nYeshwantarao Chavan College of Enginering  \nNagpur, India  \n[e-mail: nitangp@gmail.com](e-mail: nitangp@gmail.com)  \n4Research Scholar,Department of Electronics & Telecommunication Engineering ,  \nline 2: Yeshwantarao Chavan College of Enginering  \nNagpur, India  \ne-mail: [sawadhrachana@gmail.com](sawadhrachana@gmail.com)  \n5Maharashtra Remote Sensing Application Centre (MRSAC)  \nR & D Department  \nNagpur,India  \ne-mail: [sanjaybalamwar@gmail.com](sanjaybalamwar@gmail.com)  \nAbstract— The Global temperatures are being affected by climate change. Nagpur's climate is a mix of wet and dry conditions. In the summer, the city experiences the driest weather. Because the city is approaching the extreme situation of climate change, it is vital to check the city's climate change parameters. In this study, we look at machine learning methods for predicting the climate, specifically the temperature factor for Nagpur. Three algorithms are discussed ,compare and contrast the Logistic Regression model, the Random Forest Classifier model, and the Auto Regressive approach model to find the optimum model for our prediction needs.  \nKeywords-Prediction, Machine learning, logistic regression model, Random Forest Classifier, Model using Auto regressive method , Dickey Fuller test.  \nI. INTRODUCTION  \nChanges in climatic conditions are the most visible manifestation of Nagpur's global warming. Nagpur, which is located in the heart of India, has been subjected to a variety of harsh weather conditions. Urbanization's effects and climate change's consequences are dangerously converging. The city contributes a significant amount to the effects of climate change. Cities utilize approximately 80% to 90% of energy and emit 50% to 60% of carbon dioxide, which is a considerable quantity. Specifically, industrialization, fossil fuels, hydropower, carbon dioxide and other harmful gases, and soon. Nagpur has a tropical climate with dry weather for the majority of the year. Estimating the likely effects of climate change necessitates the prediction of local temperatures. And  \ncompare them to see which model is best for our prediction Analyzing data through data analysis is the most popular and efficient computing method. When compared to physically base down scaling procedures, these compute at a faster rate and are easier to derive local climatic variables. Climate change is inevitable, and forecasted changes in rainfall patterns, humidity levels, and temperature ranges are expected to have an impact on many water supplies and biological systems, including agriculture. Climate-related phenomena such as unpredictable rainfall and temperature swings have a negative impact on global food supply and the economy. Rural inhabitants are particularly sensitive to adverse weather conditions due to their heavy reliance on agricultural products for their subsistence. Due to the rise in temperature, the city's water storage is also at maximum. Temperature, humidity, and  \nwind pressure are the most vital components in this environment [1][2] . We examine all factors in relation to yearly patterns in order to comprehend climate change. After that, we use our data to make predictions. We do this by employing machine learning to create the model and forecast weather [3][4] .  \nII. SURVEY OF ENVIRONMENTAL CONDITION IN  \nNAGPU","cbCaibNpSK65FZQL","https://ap.wps.com/l/cbCaibNpSK65FZQL","pdf",407785,1,7,"English","en",105,"# Introduction\n# Survey of Environmental Condition in Nagpur\n## Literature Survey\n## Water Supply to Nagpur","[{\"question\":\"Why is climate parameter prediction important for Nagpur?\",\"answer\":\"Nagpur’s climate is approaching more extreme conditions due to global warming. Predicting local parameters such as temperature helps assess likely effects of climate change.\"},{\"question\":\"Which machine learning models are compared in this study?\",\"answer\":\"The study compares Logistic Regression, Random Forest Classifier, and an Auto Regressive approach to find the optimum model for temperature prediction.\"},{\"question\":\"What climate factors are considered as important inputs?\",\"answer\":\"Temperature, humidity/moisture, and wind pressure are highlighted as key components. The study also examines yearly patterns to understand climate variation.\"}]","Machine Learning Techniques for Prediction of Climate Change in Nagpur using Various Optimized Models | PDF",1785894136,18,{"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},"machine-learning-techniques-for-prediction-of-climate-change-in-nagpur-using-various-optimized-models","",{"@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/machine-learning-techniques-for-prediction-of-climate-change-in-nagpur-using-various-optimized-models/124726/",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","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is climate parameter prediction important for Nagpur?","Question",{"text":75,"@type":76},"Nagpur’s climate is approaching more extreme conditions due to global warming. Predicting local parameters such as temperature helps assess likely effects of climate change.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning models are compared in this study?",{"text":80,"@type":76},"The study compares Logistic Regression, Random Forest Classifier, and an Auto Regressive approach to find the optimum model for temperature prediction.",{"name":82,"@type":73,"acceptedAnswer":83},"What climate factors are considered as important inputs?",{"text":84,"@type":76},"Temperature, humidity/moisture, and wind pressure are highlighted as key components. The study also examines yearly patterns to understand climate variation.","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},[93,97,101,105,110,115,119,122,127,130,134],{"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":21,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]