Blar i NTNU Open på tittel
Viser treff 36136-36155 av 101208
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Forecasting Ambulance Demand in Oslo and Akershus
(Master thesis, 2022)Evnen til å forutsi ambulanseetterspørsel er et kritisk verktøy innen akuttmedisin for å kunne fordele ressursene så effektivt som mulig. I denne oppgaven benytter vi et datasett gitt av Oslo Universitetssykehus for å ... -
Forecasting Ambulance Demand in Oslo and Akershus
(Master thesis, 2022)Evnen til å forutsi ambulanseetterspørsel er et kritisk verktøy innen akuttmedisin for å kunne fordele ressursene så effektivt som mulig. I denne oppgaven benytter vi et datasett gitt av Oslo Universitetssykehus for å ... -
Forecasting Cafeteria Visitors With Machine Learning
(Master thesis, 2019)Nøyaktig forutsigelse av etterspørsel er nødvendig for å lagre og forberede matvarer med lite svinn og stor sikkerhet om at etterspørselen møtes. Å forutse fremtidige gjester kan hjelpe restauranteiere med å ta handling ... -
Forecasting CDS Spreads Using Deep Learning: A Multivariate LSTM Approach
(Master thesis, 2023)I denne studien kombineres makroøkonomiske og selskapsspesifikke variabler med dyp læring for å forbedre prediksjonen av credit default swap (CDS) spreads 7 dager frem i tid. Basert på CDS-spread-determinanter hentet fra ... -
Forecasting Child Mortality while Accounting for Complex Survey Design
(Master thesis, 2019)Barnedødelighetsrater er viktige indikatorer på en nasjons helse. FNs tusenårsmål (MDG) og bærekraftsmål (SDG) fokuserer på å redusere barnedødelighet. Man trenger nøyaktige estimater og prediksjoner for nyfødtdødelighet ... -
Forecasting civil conflict along the shared socioeconomic pathways
(Journal article; Peer reviewed, 2016)Climate change and armed civil conflict are both linked to socioeconomic development, although conditions that facilitate peace may not necessarily facilitate mitigation and adaptation to climate change. While economic ... -
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
(Peer reviewed; Journal article, 2021)After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment systems, the cryptocurrency market has rapidly gained popularity. Consequently, the volatility of the various cryptocurrency prices ... -
Forecasting Day-Ahead Electricity Spot Prices, With Applications to the German Electricity Market
(Master thesis, 2019)Denne masteroppgaven har studert det tyske elektrisitetsmarkedet, i den hensikt å predikere neste dags elektrisitetsspotpriser. Tre modeller er presentert; den første modellen er en "persistence"-modell, som fungerer som ... -
Forecasting Electricity Load With Hybrid Scalable Model Based on Stacked Non Linear Residual Approach
(Peer reviewed; Journal article, 2021)Power has totally different attributes than other material commodities as electrical energy stockpiling is a costly phenomenon. Since it should be generated when demanded, it is necessary to forecast its demand accurately ... -
Forecasting Ether price with deep learning and classical time-series methods
(Bachelor thesis, 2021)I løpet av de siste to tiårene har vi observer rask vekts innen teknologi og digital økonomi, noe som gir opphav til kryptovalutaer som Ether. Det finnes noen forskjeller mellom disse instrumentene og fiat-penger, men det ... -
Forecasting green roof detention performance by temporal downscaling of precipitation time-series projections
(Peer reviewed; Journal article, 2022)A strategy to evaluate the suitability of different multiplicative random cascades to produce rainfall time series, taking into account climate change, inputs for green infrastructures models. The multiplicative random ... -
Forecasting Hourly Ambulance Demand for Oslo, Norway: A Neuro-Symbolic Method
(Journal article; Peer reviewed, 2023)Forecasting ambulance demand is critical for emergency medical services to allocate their resources as efficiently as possible. This work uses data from Norway's Oslo University Hospital (OUH) to forecast hourly ambulance ... -
Forecasting Intra-Hour Imbalances in Electric Power Systems
(Journal article; Peer reviewed, 2019)Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is due to the increasing complexity of the ... -
Forecasting migraine with machine learning based on mobile phone diary and wearable data
(Peer reviewed; Journal article, 2023)Introduction Triggers, premonitory symptoms and physiological changes occur in the preictal migraine phase and may be used in models for forecasting attacks. Machine learning is a promising option for such predictive ... -
Forecasting Multivariate Time Series Data Using Neural Networks
(Master thesis, 2018)Over the last few years, neural networks have become extremely popular, and their usage is increasing rapidly. This project has investigated the use of neural networks for one-step time series forecasting on highly random ... -
Forecasting Price Distributions in the German Electricity Market
(Chapter, 2018)Electricity price distributional forecasts are crucial to energy risk management. In this paper we model and forecast Value at Risk (VaR) for the German EPEX spot price using variable selection with quantile regression, ... -
Forecasting Red Wine Rankings at Vinmonopolet with Machine Learning
(Master thesis, 2021)I Norge blir salg av drikkevarer med over 4,75 % alkohol monopolisert av Vinmonopolet og kontrollert av strenge lover som forbyr reklame. Vinmonopolet bytter produktutvalg annenhver måned, der de lanserer nye produkter og ... -
Forecasting Stochastic Volatility Characteristics for the Finan-cial Fossil Oil Market Densities
(Peer reviewed; Journal article, 2021)This paper builds and implements multifactor stochastic volatility models for the international oil/energy markets (Brent oil and WTI oil) for the period 2011-2021. The main objective is step ahead volatility predictions ... -
Forecasting the Atlantic Salmon Spot Price Using the Autoregressive Distributed Lag Model
(Master thesis, 2018)Salmon farming is the largest growing food supply sector in the world. Alongside the growth, the industry is becoming more competitive and is strengthening its position in the capital markets. However, the salmon price is ...