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Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy: 5th ECML PKDD Workshop, DARE 2017, Skopje, . Papers (Lecture Notes in Computer Science)
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Preise | 2017 | 2019 | 2023 |
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Schnitt | € 26,39 | € 43,06 | € 42,79 |
Nachfrage |
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy (2017)
ISBN: 9783319716428 bzw. 3319716425, vermutlich in Englisch, Springer, Taschenbuch, neu.
5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers, This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others. Taschenbuch, 17.11.2017.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy (2017)
ISBN: 9783319716428 bzw. 3319716425, in Deutsch, Springer Shop, Taschenbuch, neu.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others. Soft cover.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewa (2017)
ISBN: 9783319716428 bzw. 3319716425, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others. Soft cover.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy (2017)
ISBN: 9783319716435 bzw. 3319716433, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others. eBook.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewa (2017)
ISBN: 9783319716435 bzw. 3319716433, vermutlich in Englisch, Springer Nature, neu, E-Book, elektronischer Download.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others. eBook.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy: 5th ECML PKDD Workshop, DARE 2017, Skopje, . Papers (Lecture Notes in Computer Science) (2017)
ISBN: 9783319716435 bzw. 3319716433, in Englisch, 142 Seiten, Springer, neu, Erstausgabe, E-Book, elektronischer Download.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others., Kindle Edition, Ausgabe: 1st ed. 2017, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2017-12-22, Freigegeben: 2017-12-22, Studio: Springer.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy (2017)
ISBN: 9783319716435 bzw. 3319716433, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.The 11 papers presented in this volume were carefully.
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy (2017)
ISBN: 9783319716435 bzw. 3319716433, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.
/ Aung / Kramer / Madnick | Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy | Spri
ISBN: 9783319716428 bzw. 3319716425, vermutlich in Englisch, Springer, neu.