Sökning: "Stochastic Programming"
Visar resultat 11 - 15 av 54 uppsatser innehållade orden Stochastic Programming.
11. Hedging the Term Structure Risk of Carbon Allowance Derivatives : An Application of Stochastic Optimisation to EUA Market Making
Master-uppsats, Linköpings universitet/ProduktionsekonomiSammanfattning : The initiative by the EU to combat global warming through the introduction of a cap-and-trade system for greenhouse gas emissions in 2005, known as the EU Emissions Trading System (ETS), resulted in the inception of a new financial market. The right to emit one tonne of CO2-equivalents, as well as derivatives on this right, have become commodities, traded both through exchanges and over the counter. LÄS MER
12. Open Source Grid Expansion Models for the EU Project Spine
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modern power systems are at the forefront of addressing the transition towards a decarbonized energy system, with increased integration of renewable energy sources becoming the key means to achieve the same. In this context, an expansion planning problem provides a decision support framework for investments in new generation and transmission assets over a long time-frame, addressing a wide range of technical and economic criteria aligned with national policies. LÄS MER
13. Swap Book Hedging using Stochastic Optimisation with Realistic Risk Factors
Master-uppsats, Linköpings universitet/ProduktionsekonomiSammanfattning : Market makers such as large banks are exposed to market risk in fixed income by acting as a counterparty for customers that enter swap contracts. This master thesis addresses the problem of creating a cost-effective hedge for a realistic swap book of a market maker in a multiple yield curve setting. LÄS MER
14. Stochastic EM for generic topic modeling using probabilistic programming
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Probabilistic topic models are a versatile class of models for discovering latent themes in document collections through unsupervised learning. Conventional inferential methods lack the scaling capabilities necessary for extensions to large-scale applications. LÄS MER
15. Optimisation of the Distribution of COVID-19 Vaccines
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This paper explores how to optimally distribute vaccines by deciding what middle warehouses to use for storage. For this purpose, a network has been designed with a central warehouse, a set of middle warehouses and a set of local hospitals. LÄS MER