Essays about: "Time series models"
Showing result 1 - 5 of 605 essays containing the words Time series models.
-
1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE
-
2. Time Series Forecasting on Database Storage
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE
-
3. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE
-
4. CAViaR and Cross-sectional quantile regression models to assess risk in S&P500 sectors
University essay from Göteborgs universitet/Graduate SchoolAbstract : The aim of this thesis is to investigate the performance of different models used in risk management to identify and control risks that may negatively impact company operations due to unpredictable events. More specifically, the object of this paper is the discussion of a cross-sectional quantile regression model (CSQR) and the CAViaR model, which is a time series quantile regression model. READ MORE
-
5. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
University essay from KTH/Matematik (Avd.)Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE