Data Analytics for Renewable Energy Integration -

Data Analytics for Renewable Energy Integration

Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers
Buch | Softcover
IX, 151 Seiten
2014 | 2014
Springer International Publishing (Verlag)
978-3-319-13289-1 (ISBN)
53,49 inkl. MwSt
This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Towards Flexibility Detection in Device-Level Energy Consumption.- Balancing Energy Flexibilities Through Aggregation.- Machine Learning Prediction of Large Area Photovoltaic Energy Production.- The Research on Vulnerability Analysis in OpenADR for Smart Grid.- Improving an Accuracy of ANN-Based Mesoscale-Microscale Coupling Model by Data Categorization: With Application to Wind Forecast for Offshore and Complex Terrain Onshore Wind Farms.- PowerScope: Early Event Detection and Identification in Electric Power Systems.- Machine Learning Techniques for Supporting Renewable Energy Generation and Integration: A Survey.- A Framework for Data Mining in Wind Power Time Series.- Systematical Evaluation of Solar Energy Supply Forecasts.- Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies.- Rooftop Detection for Planning of Solar PV Deployment: A Case Study in Abu Dhabi.

Erscheint lt. Verlag 5.12.2014
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo IX, 151 p. 63 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 260 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Artificial Intelligence • Computer Science • conference proceedings • data analytics • Data Mining • Electrical Engineering • energy distribution • fault detection • Informatics • machine learning • power and energy • renewable energy • Research • Smart Grid • Solar energy • Statistical Methods • sustainability • Wind Energy
ISBN-10 3-319-13289-X / 331913289X
ISBN-13 978-3-319-13289-1 / 9783319132891
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Wie bewerten Sie den Artikel?
Bitte geben Sie Ihre Bewertung ein:
Bitte geben Sie Daten ein:
Mehr entdecken
aus dem Bereich
von absurd bis tödlich: Die Tücken der künstlichen Intelligenz

von Katharina Zweig

Buch | Softcover (2023)
Heyne (Verlag)
20,00
menschliches Denken und künstliche Intelligenz

von Manuela Lenzen

Buch | Softcover (2023)
C.H.Beck (Verlag)
20,00