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Showing result 1 - 5 of 7 essays matching the above criteria.

  1. 1. Generative Adversarial Networks and Natural Language Processing for Macroeconomic Forecasting

    University essay from KTH/Matematisk statistik

    Author : David Evholt; Oscar Larsson; [2020]
    Keywords : Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting; Machine learning; natural language processing; generative adversarial nets; GAN; LSTM; CNN; macroeconomics; S P500; unemployment; forecasting;

    Abstract : Macroeconomic forecasting is a classic problem, today most often modeled using time series analysis. Few attempts have been made using machine learning methods, and even fewer incorporating unconventional data, such as that from social media. In this thesis, a Generative Adversarial Network (GAN) is used to predict U.S. READ MORE

  3. 2. The cost-efficient abatement strategy for primary PM2.5 emissions between sectors in Delhi to reach the national air quality standard : a static model approach using the current legislation baseline scenario

    University essay from SLU/Dept. of Economics

    Author : Christoffer Karlsson Jamous; [2018]
    Keywords : air pollution; Delhi; GAINS; India; MAC; marginal abatement cost; optimization; PM2.5;

    Abstract : High level of ambient PM2.5 concentration in cities have negative health implications for the population. Delhi have concentration levels above defined national standards as well as air quality guidelines defined by the WHO. The study estimates sector specific MAC functions for sectors in Delhi contributing to the primary PM2. READ MORE

  4. 3. Correlating Local Weather Conditions with Cellular Network Performance Indicators

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Olof Jacobson; [2016]
    Keywords : ;

    Abstract : In this thesis, the relationships between local weather and the performance of a cellular telecommunications network were investigated by means of data analysis. Models of the average daily cycles in the data were developed accounting for cyclic behaviour and seasonal trends. READ MORE

  5. 4. Optimization of hydro power on the Nordic electricity exchange using financial derivatives

    University essay from KTH/Matematisk statistik

    Author : Viktor Enoksson; Fredrik Svedberg; [2015]
    Keywords : Optimization; hydro power; linear programming; stochastic programming; scenario construction; stochastic inflow modeling; financial derivatives on electricity.;

    Abstract : Since the deregulation of the Nordic electricity market in 1996, electricity has become one of the most traded commodities in the Nordic region. The electricity price is characterized by large fluctuations as the supply and demand of electricity are seasonally dependent. READ MORE

  6. 5. Hybrid Rainfall Estimates from Satellite, Lightning and Ground Station Data in West Africa

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Henrik Enbäck; Charlotta Eriksson; [2015]
    Keywords : rainfall estimates; West Africa; lightning; satellite; nederbördsestimat; Västafrika; blixtar; satellit;

    Abstract : Most of the working population in Ghana are farmers. It is of importance for them to know where and when precipitation will occur to prevent crop losses due to droughts and floodings. In order to have a sustainable agriculture, improved rainfall forecasts are needed. One way to do that is to enhance the initial conditions for the rainfall models. READ MORE