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: 149060 T 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.
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 Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка 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.
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: 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: 158230.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Watts Erik Название: Dispatch: 911 Dispatchers Notebook ISBN: 1091208867 ISBN-13(EAN): 9781091208865 Издательство: Неизвестно Цена: 8030.00 T Наличие на складе: Невозможна поставка.
Автор: Kaiser, Mark Название: Decommissioning Forecasting and Operating Cost Estimation ISBN: 0128181133 ISBN-13(EAN): 9780128181133 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The US Gulf of Mexico is one of the largest and most prolific offshore hydrocarbon basins in the world with thousands of structures installed in the region and tens of thousands of wells drilled. Over the past decade, a significant number of structures in shallow water have been decommissioned, as operators can no longer "kick the decommissioning can" down the road. This has opened up new markets and additional regulatory oversight with far-reaching implications. This book describes future decommissioning trends and issues and provides guidance for operator budgeting, regulatory oversight, and service sector companies interested in participating in the field.
Decommissioning Forecasting and Operating Cost Estimation is the first of its kind textbook to develop models to forecast platform decommissioning in the Gulf of Mexico and to better understand the dynamics of offshore production cost. The book bridges the gap between modeling and technical knowledge to provide insight into the sector. Topics are presented in five parts covering fundamentals, structure inventories and well trends, decommissioning modeling, critical infrastructure issues, and operating cost estimation. Factor models and activity-based cost models in operating cost estimation conclude the discussion.
Decommissioning Forecasting and Operating Cost Estimation helps oil and gas professionals navigate through this complex and challenging field providing an invaluable resource for academics, researchers, and professionals. The book will also serve government regulators, energy and environmental engineers, offshore managers, financial analyst, and others interested in this fascinating and dynamic industry.
In-depth economic, statistical, and systems analysis on Gulf of Mexico decommissioning activity
Balanced coverage of fundamental knowledge and advanced methods
Delivers data and results to understand infrastructure and activity trends
Numerous examples, worked-out problems, and real-world applications
Engineering, science, and market perspectives
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: 174050.00 T 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.
Автор: Ajoy K. Palit; Dobrivoje Popovic Название: Computational Intelligence in Time Series Forecasting ISBN: 1849969701 ISBN-13(EAN): 9781849969703 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.
Автор: Fahed Mostafa; Tharam Dillon; Elizabeth Chang Название: Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk ISBN: 3319516663 ISBN-13(EAN): 9783319516660 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Kalogirou, Soteris (professor, Department Of Mechanical Engineering And Materials Sciences And Engineering, Cyprus University Of Technology, Limassol, Название: Handbook of artificial intelligence techniques in photovoltaic systems ISBN: 0128206411 ISBN-13(EAN): 9780128206416 Издательство: Elsevier Science Рейтинг: Цена: 142610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Now the most wanted person in Sonande, her only hope of reclaiming what is rightfully hers lies in a divine power hidden in the long-lost city of her ancestors. Meanwhile, the resurrection of Karina`s sister has spiraled the world into chaos, with disaster after disaster threatening the hard-won peace Malik has found as Farid`s apprentice.
Автор: Mostafa Fahed, Dillon Tharam, Chang Elizabeth Название: Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk ISBN: 3319847139 ISBN-13(EAN): 9783319847139 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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