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Clustering electricity consumption data to identify optimal electricity contracts
(2020)
This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers.
First main ...
Deep forecasting of electricity consumption and production
(2020)
Buildings stock represented 41% of the final European energy consumption in 2016. It is, therefore, critical to improve their energy efficiency. Forecasting the electricity consumption of buildings would help users in ...
Pitch correction of human singing voice using neural networks
(2020)
Pitch correction of vocals is an integral part of music production, and while there are automatic methods for the process, they tend to produce a recognizable sound and their usage can be clearly heard in the final audio. ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Bayesian optimal design in X-ray tomography
(2020)
This thesis focuses on Bayesian optimal design and its applications to X-ray tomography. X-ray tomography is a well-known setting where X-rays are projected at an object. X-ray intensity data is recorded on the other side ...
Unsupervised profiling of electricity consumers for load forecasting applications
(2020)
Electric power suppliers are typically interested in profiling their customers. Different
consumer categories or load profiles can give insight into behavior which affects the power grid and facilitate load forecasting ...
Analysis of survey data by numerical modelling
(2020)
Analysing survey data poses a challenge of often being based on human feelings, which cannot be measured by objective numerical values. The Finnish Institute of Occupational Health has formulated a survey to measure the ...
Predicting lead times of purchase orders using gradient boosting machine
(2020)
A company can make more accurate predictions of its internal processes and sales lead
times when it has accurate predictions of the lead times of purchase orders. It results in more
efficient processes as well as improved ...
Estimation of Bełchatów Power Station emissions from TROPOMI nitrogen dioxide satellite observations
(2020)
The Bełchatów coal power station is the highest producer of nitrogen oxides, carbon dioxide, and sulphur dioxide emissions in Europe. The Tropospheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5 satellite can ...
EMH-teorian testaaminen Yhdysvaltojen pörssimarkkinoilla S&P 500 -yritysten keskuudessa
(2020)
Pörssit ovat organisoituja, julkisia kauppapaikkoja, joissa käydään kauppaa muun muassa osakkeista, raaka-aineista ja valuutoista. New York Stock Exchange (NYSE) ja NASDAQ ovat kaksi maailman suurinta pörssiä, joissa käydään ...