Browsing by Subject "Modulation"
Now showing items 1-3 of 3
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Forecasting Models For Daily Natural Gas Consumption Considering Periodic Variations And Demand Segregation
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Publisher and Date:(Elsevier Ltd, 2020)Due to expensive infrastructure and the difficulties in storage, supply conditions of natural gas are different from those of other traditional energy sources like petroleum or coal. To overcome these challenges, supplier countries require take-or-pay agreements for requested natural gas quantities. These contracts have many pre-clauses; even if they are not met due to low/high consumption or other external factors, buyers must completely fulfill them. A similar contract is then imposed on ...
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Hourly electricity demand forecasting using Fourier analysis with feedback
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Publisher and Date:(Elsevıer, 2020)Whether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand for electricity, along with parameters such as temperature, humidity, and work habits, eventually causes deviations from expected demand. In this paper, we propose a feedback-based forecasting methodology in which the hourly prediction by a Fourier series expansion is updated ...
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Joint Wavelet-Based Spectrum Sensing and FBMC Modulation for Cognitive mmWave Small Cell Networks
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Publisher and Date:(Inst Engineering Technology-IET, 2016)Millimetre-wave (mmWave) 5G communications is an emerging technology to enhance the capacity of existing systems by thousand-fold improvement. Heterogeneous networks employing densely distributed small cells can optimise the available coverage and throughput of 5G systems. Efficiently utilising the spectrum bands by small cells is one of the approaches that will considerably increase the available data rate and capacity of the heterogeneous networks. This challenging task can be achieved by spectrum ...
