IoT Enabled Multi-Energy Systems | From Isolated Energy Grids to Modern Interconnected Networks

Amjad Anvari-Moghaddam (u. a.)

ISBN 10: 0323954219 ISBN 13: 9780323954211
Verlag: Elsevier Science & Technology, 2023
Neu Taschenbuch

Verkäufer preigu, Osnabrück, Deutschland Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

AbeBooks-Verkäufer seit 5. August 2024


Beschreibung

Beschreibung:

IoT Enabled Multi-Energy Systems | From Isolated Energy Grids to Modern Interconnected Networks | Amjad Anvari-Moghaddam (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Elsevier Science & Technology | EAN 9780323954211 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 121986312

Diesen Artikel melden

Inhaltsangabe:

IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.

Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.

  • Reviews core applications of IoT technologies in grid modernization of multi-energy networks
  • Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks
  • Analyzes the reliable integration, sustainable operation and accurate planning of multi-carrier energy grids in highly penetrated stochastic energy resources

Über die Autorinnen und Autoren: Mohammadreza Daneshvar, PhD, is an Assistant Professor, founder and head of the Laboratory of Multi-Carrier Energy Networks Modernization at the Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Prior to that, he was a postdoctoral research fellow in the field of modern multi-energy networks at the Smart Energy Systems Lab of the University of Tabriz for two years. He obtained his MSc and PhD degrees in Electrical Power Engineering from the University of Tabriz, all with honors. He has (co)authored more than 50 technical journal and conference articles, 10 books, 28 book chapters, and 10 national and international research projects in the field. Dr. Daneshvar is a member of the Editorial Board of the Energy and Built Environment Journal and the Early Career Editorial Board of the Sustainable Cities and Society Journal. He also served as the guest editor for the Sustainable Cities and Society, and Sustainable Energy Technologies and Assessments journals. Moreover, he serves as an active reviewer with more than 120 top journals, and was ranked among the top 1% of reviewers in Engineering and Cross-Field based on Publons global reviewer database. His research interests include Smart Grids, Transactive Energy, Energy Management, Renewable Energy Sources, Integrated Multi-Energy Systems, Grid Modernization, Electrical Energy Storage Systems, Sustainable Cities and Society, Microgrids, Energy Hubs, Machine Learning and Deep Learning, Digital Twin, and Optimization Techniques and AI.

Dr. Behnam Mohammadi-Ivatloo, PhD, is a Professor of sector coupling in energy systems at LUT University, Lappeenranta, Finland. He has a mix of high-level experience in research, teaching, administration and voluntary jobs at the national and international levels. He was PI or CO-PI in more than 20 externally funded research projects including grants from EU Horiozn and Business Finland. He is a Senior Member of IEEE since 2017 and a Member of the Governing Board of Iran Energy Association since 2013, where he was elected as President in 2019. He is Editor of IEEE Transactions on Power Systems and IEEE Transactions of Transportation Electrifications. His main areas of interest are integrated energy systems, sector coupling, renewable energies, energy storage systems, microgrids, and smart grids.



Dr. Kazem Zare, PhD, SMIEEE received the B.Sc. and M.Sc. degrees in electrical engineering from University of Tabriz, Tabriz, Iran, in 2000 and 2003, respectively, and Ph.D. degree from Tarbiat Modares University, Tehran, Iran, in 2009. Currently, he is a Professor of the Faculty of Electrical and Computer Engineering, University of Tabriz. His research areas include distribution networks operation and planning, power system economics, microgrid and energy management.



Amjad Anvari-Moghaddam PhD, SMIEEE, received the Ph.D. degree (Hons.) in Power Systems Engineering from the University of Tehran, in 2015. He is currently an Associate Professor and the vice leader of PESYS and iGRIDS research groups at the Department of Energy (AAU Energy), Aalborg University, where he is also the coordinator for the Integrated Energy Systems Laboratory (IES-Lab). He has published more than 200 technical articles, 4 books, and 8 book chapters. His research interests include planning, control, and operation management of microgrids, renewable/hybrid power systems, and integrated energy systems with appropriate market mechanisms. He was a recipient of the 2020 DUO-India Fellowship Award, the DANIDA Research Fellowship grant from the Ministry of Foreign Affairs of Denmark, in 2018, the IEEE-CS Outstanding Leadership Award 2018 (Halifax, Nova Scotia, Canada), and the 2017 IEEE-CS Outstanding Service Award (Exeter-UK).

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: IoT Enabled Multi-Energy Systems | From ...
Verlag: Elsevier Science & Technology
Erscheinungsdatum: 2023
Einband: Taschenbuch
Zustand: Neu

Beste Suchergebnisse beim ZVAB

Beispielbild für diese ISBN

Verlag: Academic Press, 2023
ISBN 10: 0323954219 ISBN 13: 9780323954211
Neu Paperback

Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback. Zustand: Brand New. 280 pages. 9.00x6.00x0.43 inches. In Stock. Artikel-Nr. __0323954219

Verkäufer kontaktieren

Neu kaufen

EUR 145,62
Währung umrechnen
Versand: EUR 14,40
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Verlag: Academic Press, 2023
ISBN 10: 0323954219 ISBN 13: 9780323954211
Neu Softcover

Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Artikel-Nr. 402188699

Verkäufer kontaktieren

Neu kaufen

EUR 146,21
Währung umrechnen
Versand: EUR 7,49
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: 3 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Verlag: Academic Press, 2023
ISBN 10: 0323954219 ISBN 13: 9780323954211
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Artikel-Nr. ria9780323954211_new

Verkäufer kontaktieren

Neu kaufen

EUR 174,47
Währung umrechnen
Versand: EUR 13,80
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Amjad Anvari-Moghaddam
ISBN 10: 0323954219 ISBN 13: 9780323954211
Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Neuware - IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems. Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more. Artikel-Nr. 9780323954211

Verkäufer kontaktieren

Neu kaufen

EUR 194,27
Währung umrechnen
Versand: EUR 61,63
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Verlag: Elsevier Science, 2023
ISBN 10: 0323954219 ISBN 13: 9780323954211
Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Reviews core applications of IoT technologies in grid modernization of multi-energy networks Develops practical solutions for optimal integration of renewable energy resources in modern multi-vector energy networks Analyzes the re. Artikel-Nr. 607782722

Verkäufer kontaktieren

Neu kaufen

EUR 195,09
Währung umrechnen
Versand: EUR 48,99
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb