Data Analytics for Renewable Energy Integration
Springer International Publishing (Verlag)
978-3-319-13289-1 (ISBN)
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 |
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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 |
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