Time series and forecasting

Predicting what happens next, from electricity load and traffic accidents to retail demand, weather and race outcomes -- including the recurring difficulties of seasonality, sparse events and spatiotemporal structure.

19 supervised theses. See all supervised theses for the full list, or open topics if you are looking for one to take on.

Level	Author	Title	Date	Industry	Recording
BSc	A. Bogdanova	Estimating Formula 1 qualifying performance with machine learning	Apr. 2026
MSc	A. Manninen	Spatiotemporal Traffic Accident Prediction Using Deep Learning Models	June 2024		video
MSc	D. Suman	Deep Learning Methods for Demand Time Series Forecasting	June 2024	Zalando
BSc	E. Närhi	Linear relationships between time series - A case study	May 2024
MSc	I. Tarpila	Training Machine Learning Models for E-sports Spatiotemporal Time Series Forecasting	Nov. 2024
MSc	S. Facchini	Prediction of fuel usage consumption in the airline industry	Mar. 2024	Finnair
MSc	S. Hirvonen	Comparison of data-driven models for building energy load forecasting	May 2024	VTT
BSc	T. Eväsoja	Determining dependencies in multivariate time series data: Using machine learning methods	May 2024
BSc	H. Kivijärvi	Weather forecasting with deep learning methods	Sept. 2023
MSc	J. Himanen	Towards a data-driven circular economy: predicting material streams in the construction industry	Jan. 2023
MSc	L. Garcia Tejada	Applying machine learning to forecast Formula 1 race outcomes	Aug. 2023		video
MSc	R. Siljander	Extreme gradient boosting methods for covariate forecasting of housing market demand in Finnish postal code areas	Dec. 2023	Alma Talent Oy
MSc	A. Channabasaiah	Applying machine learning methods to predict taxi pickups using historical taxi data	Jan. 2022		video
MSc	M. Afteniy	Predicting time series with transformer	May 2021
PhD	R. Tervo	Machine Learning-Based Weather Impact Forecasting	Nov. 2021
MSc	K. Klemets	Forecasting hourly parking occupancy with multiple seasonalities	Aug. 2020	City of Helsinki
MSc	A. Moskalev	Demand forecasting for fast-moving products in grocery retail	May 2019	Relex Solutions
MSc	A. Shehata	Cellular network average user throughput-downlink prediction by machine learning	Dec. 2018	Nokia
MSc	H. Do	Forecasting Finnish unemployment trend based on demographic structure and government policies	in progress