Data Analytics for Renewable Energy Integration: 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers: Lecture Notes in Computer Science, cartea 10097
Editat de Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart Madnicken Limba Engleză Paperback – 19 ian 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) | 307.92 lei 6-8 săpt. | |
| Springer International Publishing – 17 noi 2017 | 307.92 lei 6-8 săpt. | |
| Springer International Publishing – 19 ian 2017 | 308.09 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319509464
ISBN-10: 3319509462
Pagini: 137
Ilustrații: VII, 137 p. 58 illus.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 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: 3319509462
Pagini: 137
Ilustrații: VII, 137 p. 58 illus.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.22 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
Locating Faults in Photovoltaic Systems Data.- Forecasting of Smart Meter Time Series Based on Neural Cybersecurity for Smart Cities: A Brief Review.- Machine Learning Prediction of Photovoltaic Energy from Satellite Sources.- Approximate Probabilistic Power Flow.- Dealing with Uncertainty: An Empirical Study on the Relevance of Renewable Energy Forecasting Methods.- Measuring Stakeholders’ Perceptions of Cybersecurity for Renewable Energy Systems.- Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests.- Evolutionary Multi-Objective Ensembles forWind Power Prediction.- A Semi-Automatic Approach for Tech Mining and Interactive Taxonomy Visualization.- Decomposition of Aggregate Electricity Demand into the Seasonal-Thermal Components for Demand-Side Management Applications in "Smart Grids".
Caracteristici
Includes supplementary material: sn.pub/extras