Search for dissertations about: "energy detection"

Showing result 1 - 5 of 470 swedish dissertations containing the words energy detection.

2. 1. 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

4. 2. Towards a learning system for process and energy industry : Enabling optimal control, diagnostics and decision support

   Author : Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Bengtsson Gunnar; Agostino Gambarotta; Mälardalens högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

   Abstract : Driven by intense competition, increasing operational cost and strict environmental regulations, the modern process and energy industry needs to find the best possible way to adapt to maintain profitability. Optimization of control and operation of the industrial systems is essential to satisfy the contradicting objectives of improving product quality and process efficiency while reducing production cost and plant downtime. READ MORE

5. 3. Survivability control using data-driven approaches and reliability analysis for wave energy converters

   Author : Zahra Shahroozi; Jens Engström; Malin Göteman; Lars Johanning; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; power maximization; prediction horizon; extreme wave conditions; wave tank experiment; numerical WEC-Sim analysis; reliability analysis; statistical methods; environmental design load; fatigue analysis; statistical methods; survivability analysis; neural network methods;

   Abstract : Wave energy, with five times the energy density of wind and ten times the power density of solar, offers a compelling carbon-free electricity solution. Despite its advantages, ongoing debates surround the reliability and economic feasibility of wave energy converters (WECs). READ MORE

6. 4. Distributed Detection in Cognitive Radio Networks

   Author : Ahti Ainomäe; Mats Bengtsson; Tõnu Trump; Olav Tirkkonen; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cognitive Radio; distributed estimation; distributed detection; Diffusion LMS; Diffusion Networks; Adaptive Networks; Spectrum Sensing; Energy Detection; Random Matrix; Largest Eigenvalue Detection.; Electrical Engineering; Elektro- och systemteknik;

   Abstract : One of the problems with the modern radio communication is the lack of availableradio frequencies. Recent studies have shown that, while the available licensed radiospectrum becomes more occupied, the assigned spectrum is significantly underutilized. READ MORE

7. 5. On a learning system for industrial automation : Model-based control and diagnostics for decision support

   Author : Moksadur Rahman; Konstantinos Kyprianidis; Anders Avelin; Gunnar Bengtsson; John Hedengren; Mälardalens högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning system; Supervisory system; Pulp and paper; Micro gas turbine; Process modelling; Model-based control; Diagnostics; Decision support; Anomaly detection; Fault detection; Energy- and Environmental Engineering; energi- och miljöteknik;

   Abstract : Access to energy is fundamental to economic and technological advancement. Hence, the more the world develops, the greater the demand for energy becomes. Evidently, the production and consumption of energy alone account for more than 80% of global anthropogenic greenhouse gas (GHG) emissions. READ MORE