Hardcover. Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Artificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy. The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system. This book includes information on: Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance Modularity, reliability, and explainability of Large-Scale Foundation models Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

N� de ref. del art�culo 9781394366996

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Prognostics and Health Management in Energy and Power Systems (Hardcover)
Editor: John Wiley & Sons Inc
Fecha de publicaci�n: 2026
Idioma: Ingl�s
ISBN 10: 139436699X
ISBN 13: 9781394366996
Encuadernaci�n: Hardcover
Estado: new

Acerca de

Sinopsis

Key insights and practical guidance on transitioning to clean energy while meeting increasing energy demands, covering AI developments and more

Prognostics and Health Management in Energy and Power Systems explores two highly topical subjects, energy transition and the latest advances in Artificial Intelligence, and provides insights and practical guidance for a smooth transition to clean, low-carbon energy while simultaneously continuing to meet the ever-increasing demand for energy.

The first part of this book is completely devoted to the challenges, trends, and Asset Management requirements for the energy transition and explains why the energy system of the future must be resilient, autonomous, anticipatory, and situation-aware. The second part of the book presents key developments in recent years and shows the gradual shift from a collection of monolithic architectures for narrow, singular tasks to a set of modular, reconfigurable architectures capable of handling different types of tasks. An industrial case study is illustrated in the third part of the book, showing that Large-Scale Foundation models represent a promising technique to support the Prognostics and Health Management of the energy system.

This book includes information on:

Key differences between reliability and resilience, covering Low-Impact, High-Probability events and High-Impact, Low-Frequency events
Important factors in the operation of current and future power plants and substations, including software, complexity, human error, data, and maintenance
Modularity, reliability, and explainability of Large-Scale Foundation models
Transformer-based Deep Neural Networks, covering Attention Mechanisms, Positional Encoding, and input-output data embedding
Graph-based approaches to prognostics of complex machinery with sparse Run-to-Failure data, covering diagnostics feature extraction and graph dataset generation

Prognostics and Health Management in Energy and Power Systems is an essential forward-thinking reference for engineers and researchers working in the energy sector with an interest in AI techniques and Machine Learning.

Acerca del autor

Ryad M. Zemouri, Ph.D, is a Data Scientist at Hydro-Qu�bec’s Research Institute (IREQ), Canada. Previously, he was an Associate Professor at the University of Cnam, Paris. His research interests include machine learning and artificial neural networks, with a particular interest in industrial applications of machine learning to prognosis and health management (PHM). He has published nearly 100 papers in various international conferences and journals.

Jean Raymond, ing., Ph.D., M.Sc.A., is a RAMS Engineer in Hydro-Qu�bec’s Expertise, Engineering and Standardization, Canada. He has over 34 years of experience as a telecom network and systems engineer. He was responsible for the long-term development of its transport and power systems. He actively contributes to international standards groups (IEC, IEEE), and leads several committees. He has authored over twenty publications. Jean is involved in modernizing university programs in RAMS and Asset Management.

Dragan Komljenovic, ing., Ph.D, is a Senior Research Scientist at Hydro-Qu�bec’s Research Institute (IREQ), specializing in reliability, resilience, asset management, and risk analysis. He previously served as a reliability and nuclear safety engineer at the Gentilly-2 nuclear power plant, also part of Hydro-Qu�bec. Dragan actively collaborates with several universities and has authored over 120 peer-reviewed journal and conference papers. He is a Fellow of the International Society of Engineering Asset Management (ISEAM).

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Online business

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

ABC BOOKS LIMITED
10 John Street, London, WC1N 2EB, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Orders can be returned within 30 days of receipt.

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a CitiRetail, Stevenage, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 7 a 60 d�as h�biles	De 7 a 14 d�as h�biles
Primer art�culo	EUR 43.19	EUR 43.19

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.