Search for dissertations about: "energy detection"
Showing result 1 - 5 of 470 swedish dissertations containing the words energy detection.
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1. Applications of artificial neural networks for time series data analysis in energy domain
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
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2. Towards a learning system for process and energy industry : Enabling optimal control, diagnostics and decision support
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
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3. Survivability control using data-driven approaches and reliability analysis for wave energy converters
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
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4. Distributed Detection in Cognitive Radio Networks
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
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5. On a learning system for industrial automation : Model-based control and diagnostics for decision support
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