Téléchargez le livre : Advanced Methods for Processing and Visualizing the Renewable Energy

Advanced Methods for Processing and Visualizing the Renewable Energy

A New Perspective from Signal to Image Recognition de

, ,

Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2020-10-21

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
158,24 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
This book is a collection of research work conducted by researchers at Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS (UTP), and Seismic Modelling and Inversion Group, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. The book covers topics in the field of renewable energy where visualization, artificial neural network and deep learning techniques have been applied to optimize the performance of various applications in energy-related industries. These examples include a natural gas vehicle (NGV), a single axis and a fixed axis solar tracker, seismic inversion enhanced oil recovery, viability of a PV system and construction of a septic B-spline tensor product scheme. Readers will benefit from these examples, which describe the current trend of energy optimization techniques in renewable energy applications making it a good reference for the researchers and industrial practitioners working in the fieldof renewable energy and optimization techniques.
Pages
149 pages
Collection
Studies in Systems, Decision and Control
Parution
2020-10-21
Marque
Springer
EAN papier
9789811586057
EAN PDF
9789811586064
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
6697 Ko
Prix
158,24 €
EAN EPUB
9789811586064
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
26235 Ko
Prix
158,24 €

Suggestions personnalisées