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Data Analytics in Power Markets
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This book provides essential insights and methodologies for optimizing decision-making in power market dynamics.
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- This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load uncertainty modeling, bus load bad data correction, and monthly load forecasting. The following part of the book answers how much information can be obtained from public data in locational marginal price (LMP)-based markets. It introduces topics such as congestion identification, componential price forecasting, quantifying the impact of forecasting error, and financial transmission right investment. The final part of the book answers how to model the complex market bidding behaviors. Specific works include pattern extraction, aggregated supply curve forecasting, market simulation, and reward function identification in bidding. These methods are especially useful for market organizers to understand the bidding behaviors of market participants and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.
| Publisher | Springer |
| Publication date | 2 Oct. 2021 |
| Edition | 2022nd |
| Language | English |
| Print length | 292 pages |
| ISBN-10 | 981164974X |
| ISBN-13 | 978-9811649745 |
| Item weight | 629 g |
| Dimensions | 15.6 x 1.91 x 23.39 cm |
Who Should Buy?
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Energy Analysts
Professionals analyzing power market trends can leverage data analytics for informed decision-making and accurate forecasting.
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Utility Companies
Utility providers can optimize operations and enhance grid management through comprehensive data-driven insights from power markets.
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Policy Makers
Governments and regulators can use analytics to shape effective energy policies and ensure regulatory compliance in power markets.
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Casual Investors
Individuals looking for quick, simple investment insights may find the complexity of data analytics overwhelming or unnecessary.
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Higher Education Editorial Review
Data Analytics in Power Markets is a 2022 edition published by Springer on October 2, 2021. This comprehensive reference spans 292 pages and delves into the intricacies of data analysis within power markets, making it a crucial resource for professionals in the field. The book is well-structured, providing readers with a thorough understanding of analytical techniques applicable to energy markets, which is highlighted by its meticulous research and clear presentation. The ISBN-10 is 981164974X, and the ISBN-13 is 978-9811649745, ensuring easy reference and access for those interested in enhancing their analytical skills in this vital sector. Readers have noted its clarity and the depth of its content, making it valuable for both newcomers and seasoned professionals.
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Pros
- Thorough coverage of data analytics in energy markets
- Clear writing aids understanding of complex topics
- Well-structured for both new and experienced readers
- Rich in research and practical applications
- Robust reference for professionals in the field
Cons
- No illustrations or figures provided
Product Price History
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Features & Benefits
- Addresses key decision and optimization challenges in power markets.
- Focuses on bus load forecasting to improve market clearing.
- Analyzes public data utility in locational marginal price-based markets.
- Covers vital topics like congestion identification and price forecasting.
- Explores market bidding behaviors and decision-making strategies.
- Targeted towards researchers, students, and engineers in power market fields.
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