1. ELARTU — Інституційний репозитарій ТНТУ імені Івана Пулюя
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  4. 126 — інформаційні системи та технології
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dc.contributor.advisorГолотенко, Олександр Сергійович-
dc.contributor.advisorHolotenko, Olexander-
dc.contributor.authorValerie, Kasongo Bwanga-
dc.date.accessioned2026-01-28T20:34:44Z-
dc.date.available2026-01-28T20:34:44Z-
dc.date.issued2026-01-26-
dc.date.submitted2026-01-12-
dc.identifier.citationKasongo Bwanga V. Machine Learning–Driven Weather Forecasting Integrating Advanced Data Analysis Methods : Master’s qualification thesis in specialty 126 Information Systems and Technologies / supervisor O. Holotenko. — Ternopil : Ternopil Ivan Puluj National Technical University, 2026. — 97 p.uk_UA
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/51448-
dc.descriptionРоботу виконано на кафедрі комп'ютерних наук Тернопільського національного технічного університету імені Івана Пулюя. Захист відбудеться 26.01.2026р. на засіданні екзаменаційної комісії №37 у Тернопільському національному технічному університеті імені Івана Пулюяuk_UA
dc.description.abstractThe qualification work is devoted to the development and research of machine learning models to improve the accuracy of short-term weather forecasting. The first chapter analyzes classical meteorological methods and modern approaches to processing large climate datasets. The second chapter focuses on the application of intelligent analysis methods, particularly time series analysis and dimensionality reduction techniques for input parameter preparation. The third chapter presents the results of training various neural network architectures, provides a comparative analysis of their effectiveness on real historical data, and estimates prediction errors. The findings demonstrate the high efficiency of machine learning methods in identifying complex non-linear patterns in meteorological data. The work also includes a section on occupational safety and the economic justification for the system's applicationuk_UA
dc.description.tableofcontentsINTRODUCTION 1 THEORETICAL FOUNDATIONS OF WEATHER FORECASTING 1.1 Overview of traditional numerical weather prediction 1.2 Role of big data and AI in meteorology 1.3 Review of advanced data analysis techniques 2 METHODOLOGY AND DATA PREPROCESSING 2.1 Data sources and feature engineering for climate variables 2.2 Dimensionality reduction and time series decomposition 2.3 Selection of machine learning algorithms 3 MODEL IMPLEMENTATION AND COMPARATIVE ANALYSIS 3.1 Development of predictive models (SARIMA, Random Forest, Neural Networks) 3.2 Training, validation and error assessment 3.3 Discussion of results and accuracy improvements 4 ECONOMIC JUSTIFICATION OF THE PROPOSED SOLUTION 5 OCCUPATIONAL HEALTH AND SAFETY IN EMERGENCY SITUATIONS CONCLUSIONS REFERENCESuk_UA
dc.format.extent97-
dc.language.isoukuk_UA
dc.publisherТНТУ ім. І.Пулюя, ФІС, м. Тернопіль, Українаuk_UA
dc.subject126uk_UA
dc.subjectінформаційні системи та технологіїuk_UA
dc.subjectаналіз данихuk_UA
dc.subjectмагістерська робота, машинне навчання, метеорологія, прогнозування погоди, часові ряди, data analysis, deep learning, machine learning, neural networks, time series forecasting, weather predictionuk_UA
dc.subjectмагістерська роботаuk_UA
dc.subjectмашинне навчанняuk_UA
dc.subjectметеорологіяuk_UA
dc.subjectпрогнозування погодиuk_UA
dc.subjectчасові рядиuk_UA
dc.subjectdata analysisuk_UA
dc.subjectdeep learninguk_UA
dc.subjectmachine learninguk_UA
dc.subjectneural networksuk_UA
dc.subjecttime series forecastinguk_UA
dc.subjectweather predictionuk_UA
dc.titleMachine Learning–Driven Weather Forecasting Integrating Advanced Data Analysis Methodsuk_UA
dc.typeMaster Thesisuk_UA
dc.rights.holder© Valerie Kasongo Bwanga, 2026uk_UA
dc.contributor.committeeMemberЯсній, Олег Петрович-
dc.contributor.committeeMemberYasniy, Oleg-
dc.coverage.placenameТернопільuk_UA
dc.subject.udc004.85:551.509uk_UA
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dc.contributor.affiliationТНТУ ім. І. Пулюя, Факультет комп’ютерно-інформаційних систем і програмної інженерії, Кафедра комп’ютерних наук, м. Тернопіль, Українаuk_UA
dc.coverage.countryUAuk_UA
dc.identifier.citation2015Kasongo Bwanga V. Machine Learning–Driven Weather Forecasting Integrating Advanced Data Analysis Methods: Master’s qualification thesis in specialty 126 Information Systems and Technologies / supervisor O. Holotenko. Ternopil: Ternopil Ivan Puluj National Technical University, 2026. 97 p.uk_UA
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