Search for dissertations about: "neural network for forecasting"

Showing result 1 - 5 of 14 swedish dissertations containing the words neural network for forecasting.

2. 1. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

   Author : Aman Mohammad Kalteh; Avdelningen för Teknisk vattenresurslära; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

   Abstract : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. READ MORE

4. 2. Space Weather Physics: Dynamic Neural Network Studies of Solar Wind-Magnetosphere Coupling

   Author : Jian-Guo Wu; Astronomi - Genomgår omorganisation; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; Astronomi; cosmic chemistry; solar wind; space weather; magnetosphere; solar wind-magnetosphere coupling; geomagnetic activity; geomagnetic storms; predictions; modeling; neural networks; space research; Astronomy; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:1997:Wu;

   Abstract : This thesis presents studies of solar wind-magnetosphere coupling using dynamic neural networks in combination with statistically correlative analysis. The primary contribution of the thesis is dynamic neural network models that can be implemented for near real-time predictions of geomagnetic storms from the solar wind alone. READ MORE

5. 3. Applications of artificial neural networks for time series data analysis in energy domain

   Author : Fan Zhang; Hasan Fleyeh; Stawomir Nowaczyk; Högskolan Dalarna; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deregulated energy market; electricity prices; district heating; energy efficiency; neural networks; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Abstract : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. READ MORE

6. 4. On Possibilities of Using Smart Meters for Compulsory Load Shedding Supported by Load Forecasting

   Author : Yasir Arafat; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Power quality; Remote switching; Electrical distribution system; Smart meter; Compulsory load shedding; Load forecasting;

   Abstract : The smart meter rollout is progressing in several parts of the world with early adoption in some parts, e.g., Europe. Remote ON/OFF control switch of the smart meter allows distribution system operators to switch the smart meter of any customer remotely. READ MORE

7. 5. Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks

   Author : Gianluigi Rech; Handelshögskolan i Stockholm; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES;

   Abstract : This dissertation consists of 3 essays In the first essay, A Simple Variable Selection Technique for Nonlinear Models, written in cooperation with Timo Teräsvirta and Rolf Tschernig, I propose a variable selection method based on a polynomial expansion of the unknown regression function and an appropriate model selection criterion. The hypothesis of linearity is tested by a Lagrange multiplier test based on this polynomial expansion. READ MORE