Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"wind power forecasting"”.
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Short-term wind power forecasting using artificial neural networks-based ensemble model
Short-term wind power forecasting is crucial for the efficient operation of power systems with high wind power penetration. Many forecasting approaches have been developed in the past to forecast short-term wind power. In recent years, artificial neural network-based approaches (ANNs) have been one …
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Forecasting wind power for the day-ahead market using numerical weather prediction models and computational intelligence techniques
Wind power forecasting is essential for the integration of large amounts of wind power into the electric grid, especially during large rapid changes of wind generation. These changes, known as ramp events, may cause instability in the power grid. Therefore, detailed information of future ramp …
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Data mining and graph theory focused solutions to Smart Grid challenges
The Smart Grid represents a transition of the power and energy industry into a new era of improved efficiency, reliability, availability, and security, while contributing to economic and environmental health. However, several challenges must be addressed for real-life implementation of Smart Grids. …
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Integrating Transactive Energy and Machine Learning For Re-Energizing Wastewater Treatment Plants
… electricity per day and often relies on the grid power generated by burning fossil fuels. Wind- and solar-based distributed generation emerged as a clean energy solution to achieve environmental sustainability and net-zero performance. This study investigates power consumption trends in WWTP …
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Structure combination of forecasting models with application in the energy sector
… of neural networks, and highlights their use in forecasting within the energy sector. Research gaps are identified and the questions to be addressed in this research are set, thus leading to three empirical studies. The first study provides a detailed sensitivity analysis of the goodness-of-fit …
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Development and Deployment of Renewable and Sustainable Energy Technologies
Solar and wind generation are one of the most rapidly growing renewable energy sources, and is regarded as an appealing alternative to conventional power generated from fossil fuel. This is leading to significant levels of distributed renewable generation being installed on distribution circuits. …