Artificial intelligence enabled computational methods for smart grid forecast and dispatch, Yuanzheng Li, Yong Zhao,
Новое издание
Автор: Yuanzheng Li, Yong Zhao Название: Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch ISBN: 9819907985 ISBN-13(EAN): 9789819907984 Издательство: Springer Цена: 22359.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.
Описание: With the increasing penetration of renewable energy and distributed energy resources, smart grid is facing great challenges, which could be divided into two categories. On the one hand, the endogenous uncertainties of renewable energy and electricity load lead to great difficulties in smart grid forecast. On the other hand, massive electric devices as well as their complex constraint relationships bring about significant difficulties in smart grid dispatch. Owe to the rapid development of artificial intelligence in recent years, several artificial intelligence enabled computational methods have been successfully applied in the smart grid and achieved good performances. Therefore, this book is concerned with the research on the key issues of artificial intelligence enabled computational methods for smart grid forecast and dispatch, which consist of three main parts. (1) Introduction for smart grid forecast and dispatch, in inclusion of reviewing previous contribution of various research methods as well as their drawbacks to analyze characteristics of smart grid forecast and dispatch. (2) Artificial intelligence enabled computational methods for smart grid forecast problems, which are devoted to present the recent approaches of deep learning and machine learning as well as their successful applications in smart grid forecast. (3) Artificial intelligence enabled computational methods for smart grid dispatch problems, consisting of edge-cutting intelligent decision-making approaches, which help determine the optimal solution of smart grid dispatch. The book is useful for university researchers, engineers, and graduate students in electrical engineering and computer science who wish to learn the core principles, methods, algorithms, and applications of artificial intelligence enabled computational methods.
Описание: This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling.
Автор: Pritpal Singh Название: Applications of Soft Computing in Time Series Forecasting ISBN: 3319262920 ISBN-13(EAN): 9783319262925 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach.
Описание: This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling.
Автор: Barba Maggi Название: Multiscale Forecasting Models ISBN: 3319949918 ISBN-13(EAN): 9783319949918 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies.
Автор: Mohanty, Sachi ; Nanjundan, Preethi ; Kar, Tejaswi Название: Artificial Intelligence in Forecasting: Tools and Techniques ISBN: 1032506156 ISBN-13(EAN): 9781032506159 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
In The Battle for Veterans' Healthcare, award-winning author Suzanne Gordon takes us to the front lines of federal policymaking and healthcare delivery, as it affects eight million Americans whose military service makes them eligible for Veterans Health Administration (VHA) coverage.
Gordon’s collected dispatches provide insight and information too often missing from mainstream media reporting on the VHA and from Capitol Hill debates about its future. Drawing on interviews with veterans and their families, VHA staff and administrators, health care policy experts and Congressional decision makers, Gordon describes a federal agency under siege that nevertheless accomplishes its difficult mission of serving men and women injured, in myriad ways, while on active duty.
The Battle for Veterans’ Healthcare is an essential primer on VHA care and a call to action by veterans, their advocacy organizations, and political allies. Without lobbying efforts and broader public understanding of what’s at stake, a system now functioning far better than most private hospital systems may end up looking more like them, to the detriment of patients and providers alike.
Автор: Bahman Zohuri, Farhang Mossavar Rahmani and Farahn Название: Knowledge is Power in Four Dimensions: Models to Forecast Future Paradigm ISBN: 0323951120 ISBN-13(EAN): 9780323951128 Издательство: Elsevier Science Рейтинг: Цена: 26107.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Supervision in Neuropsychology offers a review of theoretical, practical, and ethical considerations for professionals providing supervision in clinical neuropsychology. The book covers competency, structural and practical issues, ethical considerations, diversity and inclusion in supervision, future challenges, and more. It concludes with 8 appendices for easy reference.
Описание: Discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact millions of lives.
Описание: Discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact millions of lives.
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