BigData techniques for Solar Power Forecasting: A SMART Grid approach to Solar Power Forecasting - Softcover
Über die Autorin bzw. den Autor
Rui Miguel da Cunha Nunes finished his Applied Mathematics and Computing degree. Post-graduation, he joined the Data Analytics Master's for further academic growth. He's now pursuing a Doctoral Program in Applied Mathematics.
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BigData techniques for Solar Power Forecasting
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
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BigData techniques for Solar Power Forecasting
Verlag:
LAP LAMBERT Academic Publishing Aug 2023, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the growth of social awareness for environmental issues, came a new and important problem to the discussion, related to renewable energies. Although this kind of energy production is already in an advanced state of development there are some issues that still need to be studied and perfected on the real production environment. The Photovoltaic production is gain some importance but the prediction of this kind of energy still need a boost in their performance. The SMART Grid projects brought this issues to another level where the importance of these predictions needs to be as accurate as possible, butthey brought another problem, how to accurate this prediction with all data that this kindof problems is associated with. There are some accurate models for a single location prediction but we involving multiple locations in one problem we need to have some computational power. Big Data techniques such the Convex optimization are a field that is important to explore since these techniques applied with the parallel computer programming paradigm can bring that computational power, and more accurate models can be trained faster. 104 pp. Englisch. Bestandsnummer des Verkäufers 9786206780151
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BigData techniques for Solar Power Forecasting
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
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BigData techniques for Solar Power Forecasting
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
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Softcover
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BigData techniques for Solar Power Forecasting
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
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Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nunes RuiRui Miguel da Cunha Nunes finished his Applied Mathematics and Computing degree. Post-graduation, he joined the Data Analytics Master s for further academic growth. He s now pursuing a Doctoral Program in Applied Mathematics. Bestandsnummer des Verkäufers 1116738542
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BigData techniques for Solar Power Forecasting
Verlag:
LAP LAMBERT Academic Publishing Aug 2023, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
Neu
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the growth of social awareness for environmental issues, came a new and important problem to the discussion, related to renewable energies. Although this kind of energy production is already in an advanced state of development there are some issues that still need to be studied and perfected on the real production environment. The Photovoltaic production is gain some importance but the prediction of this kind of energy still need a boost in their performance. The SMART Grid projects brought this issues to another level where the importance of these predictions needs to be as accurate as possible, butthey brought another problem, how to accurate this prediction with all data that this kindof problems is associated with. There are some accurate models for a single location prediction but we involving multiple locations in one problem we need to have some computational power. Big Data techniques such the Convex optimization are a field that is important to explore since these techniques applied with the parallel computer programming paradigm can bring that computational power, and more accurate models can be trained faster.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Bestandsnummer des Verkäufers 9786206780151
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BigData techniques for Solar Power Forecasting | A SMART Grid approach to Solar Power Forecasting
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
Neu
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Taschenbuch. Zustand: Neu. BigData techniques for Solar Power Forecasting | A SMART Grid approach to Solar Power Forecasting | Rui Nunes | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206780151 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 127714931
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BigData techniques for Solar Power Forecasting : A SMART Grid approach to Solar Power Forecasting
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206780155
ISBN 13: 9786206780151
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the growth of social awareness for environmental issues, came a new and important problem to the discussion, related to renewable energies. Although this kind of energy production is already in an advanced state of development there are some issues that still need to be studied and perfected on the real production environment. The Photovoltaic production is gain some importance but the prediction of this kind of energy still need a boost in their performance. The SMART Grid projects brought this issues to another level where the importance of these predictions needs to be as accurate as possible, butthey brought another problem, how to accurate this prediction with all data that this kindof problems is associated with. There are some accurate models for a single location prediction but we involving multiple locations in one problem we need to have some computational power. Big Data techniques such the Convex optimization are a field that is important to explore since these techniques applied with the parallel computer programming paradigm can bring that computational power, and more accurate models can be trained faster. Bestandsnummer des Verkäufers 9786206780151
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