Over the years, the growing penetration of renewable energy into the electricity market has resulted in a significant change in the electricity market price. This change makes the existing forecasting method prone to error, decreasing the economic benefits. Hence, more precise forecasting methods need to be developed. This paper starts with a survey and benchmark of existing machine learning approaches for forecasting the real-time market (RTM) price.
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- Partial requirement for: M.S., Arizona State University, 2019Note typethesis
- Includes bibliographical references (pages 43-45)Note typebibliography
- Field of study: Electrical Engineering