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Data Analytics in Power Markets
This book provides essential insights and methodologies for optimizing decision-making in power market dynamics.
Data Analytics in Power Markets
Item #: 246698027

Data Analytics in Power Markets

Item #: 246698027

AUD 202

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This book provides essential insights and methodologies for optimizing decision-making in power market dynamics.
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What Stands Out

Real-Time Insights
Empowers users with up-to-the-minute data analysis, allowing for quick decision-making in rapidly changing power markets, enhancing trading strategies and risk management.
Customizable Dashboards
Offers tailored visualizations that cater to specific user needs, enabling stakeholders to track key performance indicators and market trends efficiently without technical expertise.
Predictive Analytics
Utilizes advanced algorithms to forecast market fluctuations and energy demand, helping businesses optimize their operations and reduce costs while maximizing profitability.

Product Details

Shop Data Analytics in Power Markets online at a best price in Nauru. 981164974X
  • 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?

Suitable For
  • Energy Analysts

    Professionals analyzing power market trends can leverage data analytics for informed decision-making and accurate forecasting.

  • Utility Companies

    Utility providers can optimize operations and enhance grid management through comprehensive data-driven insights from power markets.

  • Policy Makers

    Governments and regulators can use analytics to shape effective energy policies and ensure regulatory compliance in power markets.

Not Suitable For
  • 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

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