Sökning: "Forecast accuracy"
Visar resultat 1 - 5 av 235 uppsatser innehållade orden Forecast accuracy.
1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : 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). LÄS MER
2. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER
3. Are Distributional Variables Useful for Forecasting With the Phillips Curve?
C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : Does information on the distribution of wealth and income help us forecast aggregate macroeconomic variables? In this thesis, we study how adding such distributional variables to a standard forecasting model affects the forecast accuracy, in the context of inflation forecasting. Using the simulated inflation forecasting approach of Atkeson and Ohanian (2001), we perform a horse race between a textbook NAIRU Phillips curve to an extension augmented with variables from the wealth and income distributions. LÄS MER
4. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER
5. Volatility Forecasting - A comparative study of different forecasting models.
Kandidat-uppsats,Sammanfattning : This study evaluates the out-of-sample forecasting performance of different volatility mod- els. When applied to XACT OMXS30, we use GARCH(1,1), EGARCH(1,1), and t- GAS(1,1) to forecast squared daily returns while Realized GARCH(1,1) and HAR-RV are used to forecast Realized Variance. LÄS MER