Theseus - Selaus asiasanan mukaan "forecasts"
Viitteet 21-40 / 65
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Energy Consumption Prediction Using Recurrent Neural Network (LSTM) : Multivariate Time Series forecasting
(2023)Energy consumption prediction plays a crucial role in optimizing resource allocation and ensuring efficient energy management. This thesis delves into the realm of multivariate time series forecasting, with a specific focus ... -
Enhancing Wind Energy Management: predictive modelling and data analysis insights
(2024)Wind power output prediction was researched to optimize energy management and sales in the renewa-ble energy sector. The primary objective was to develop accurate predictive models for forecasting wind power output over ... -
Explainability of time series models
(2022)The lack of interpretability of machine learning models is a drawback of their use. To better understand how the model works, how data affects its performance, how the model could be improved, and to gain trust in the ... -
Exploration of a trading strategy system based on meta-labeling and hybrid modeling using the SigTechPlatform.
(2021)The thesis aims to study a machine learning (ML) supported trading system. The methodology is based on a process that is utilizing meta-labeling, thus provides labels for a secondary model, where losses and gains are labeled ... -
Exploring the importance of demand forecasting in B2B : Enhancing the overall customer experience and operational efficiency by utilizing forecasting and collaboration at a manufacturing company
(2023)Being able to foresee the future is considered the ultimate goal for a company. Planning, strategies, and operations are being laid out and implemented by companies in order to anticipate what is coming, tackle the unexpected, ... -
Flight price prediction website : development of a flight prediction website using web scraping and neural networks
(2024)This thesis presents a flight price prediction system designed to assist travelers in making decisions about cost-effective flight options and planning their trips efficiently. The primary objective of this work was to ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Food Waste Prediction in Grocery Stores : time series forecasting by deep learning
(2022)Food waste has becoming an increasingly important problem globally. Source of waste derives from supply chain, food manufacturing, household, retail stores etc. This thesis focuses on the food waste problem in retail ... -
Forecasting Deforestation Trends in the Sequoia National Park
(2024)This study examines several models for predicting deforestation trends in a specific region of Sequoia National Park using the Normalized Difference Vegetation Index (NDVI) and the Leaf Area Index (LAI). For the study, a ... -
Forecasting inventory demand for a semiconductor manufacturer : a case study using machine learning and other methods applied to time series data
(2023)We have witnessed years where semiconductor scarcity has been repeatedly reported in mass media as a major threat for several industries supplier chains causing limitations in production of goods and indeed prices to rise ... -
Forecasting of Bidding Strategies for Participation in Finnish Electricity Balancing Market : A Case Study of Electric Vehicle Charging As Power Reserve
(2024)Electric Vehicle (EV) sales and popularity are increasing because it is a sustainable and environmentally friendly way of transportation. EVs reduce fossil fuel dependency and reduce (carbon dioxide) CO2 emissions. Due to ... -
Forecasting Project Performance : Testing Earned Value Management and Earned Schedule metrics using real life project data
(2021)Projects in the construction industry struggle to meet set goals. This is especially true in long term projects where distress is often noticed too late in project completion. The purpose of this study was to find and test ... -
Forecasting Residential Real Estate Prices Using Listing Data : Descriptive research on Finnish Market
(2024)This thesis investigates the use of machine learning models to accurately identify mispriced residential real estate properties by analyzing listing data. Unlike prior studies that incorporate various data types, this ... -
Framework for Pre-cost Estimation Process Improvements
(2024)Given the recent global and regional disruptions in supply chains, the need for a more dynamic pre-cost estimation process became urgent for the case company. Material costs have been subject to significant fluctuations, ... -
Guidelines to Improve the Material Cost Change Forecasting Process in Projects
(2023)In the past years, the unit of the case company that is responsible for delivering the largest projects has suffered unexpected changes in its financial results due to rapid material cost changes. Due to the long lead time ... -
How AI can help forecasting in purchasing
(2024)Since the industrial revolution, there has been notable progress in technological innovation, leading to the transformation of many manual tasks and processes that had previously been limited by human physical capabilities ... -
How Long-term Forecasting Influences Decision making at Company X
(2022)The objective of this thesis work is to highlight the importance of long-term forecasts, and E2E planning to optimize costs, increase service levels and minimize the level of inventory in business in general and Company X ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Implementing and maintaining a forecasting tool in order to improve demand forecast accuracy
(2019)One can argue that forecasting has existed since Nicolaus Copernicus (1473–1543) wrote On the Revolutions of the Heavenly Spheres and used mathematics and logic to prove and predict earth’s movement around the sun. Modern ... -
Improvement of Enclosure Supply Chain
(2021)Esimerkkiyrityksessä tuotteen valmistukseen liittyvää toimitusketjua ja niihin liittyviä prosesseja hallitaan maailmanlaajuisesti. Alihankintatehtaat ja materiaalien valmistajat sijaitsevat globaalisti eri maissa. ... -
Improving Funding Attractiveness with Financial Forecasts for a Seed Stage Digital Company
(2021)Current financial reporting standards hinders the ability for digital companies to present investor value using traditional financial reports. A new method to communicate financial data is needed for digital companies to ... -
Improving Warehouse Resourcing Process
(2021)This thesis explores the objective of improving the case company’s warehouse resourcing process. The previous resourcing activities were built organically around different parts of operations without a comprehensive process ...

















