Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy: 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers: Lecture Notes in Computer Science, cartea 10691
Editat de Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart Madnicken Limba Engleză Paperback – 17 noi 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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 324.98 lei 6-8 săpt. | |
| Springer International Publishing – 17 noi 2017 | 324.98 lei 6-8 săpt. | |
| Springer International Publishing – 19 ian 2017 | 325.14 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319716428
ISBN-10: 3319716425
Pagini: 134
Ilustrații: X, 133 p. 49 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319716425
Pagini: 134
Ilustrații: X, 133 p. 49 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.21 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Imitative learning for online planning in microgrids.- A novel central voltage-control strategy for smart LV distribution networks.- Quantifying energy demand in mountainous areas.- Performance analysis of data mining techniques for improving the accuracy of wind power forecast combination.- Evaluation of forecasting methods for very small-scale networks.- Classification cascades of overlapping feature ensembles for energy time series data.- Correlation analysis for determining the potential of home energy management systems in Germany.- Predicting hourly energy consumption. Can regression modeling improve on an autoregressive baseline.- An OPTICS clustering-based anomalous data filtering algorithm for condition monitoring of power equipment.- Argument visualization and narrative approaches for collaborative spatial decision making and knowledge construction: A case study for an offshore wind farm project.
Caracteristici
Includes supplementary material: sn.pub/extras