Hochschulschrift

Analysis of the uncertainty of wind power predictions

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Oldenburg, Univ., Diss., 2003

Classification: Ingenieurwissenschaften und Maschinenbau

Keyword: Windpark
Elektrizitätserzeugung
Schwankung
Kurzfristige Prognose
Unsicherheit
Wettervorhersage
Kraftwerkseinsatz
Windpark
Elektrizitätseinspeisung
Schwankung
Windenergie
Prognosemodell

Creator: Lange, Matthias

URN: urn:nbn:de:gbv:715-oops-2639

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

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Hochschulschrift

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Lange, Matthias

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Analysis of the uncertainty of wind power predictions

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Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

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Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

Hochschulschrift

Analysis of the uncertainty of wind power predictions

Hochschulschrift

Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

Arbeitspapier

Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

Hochschulschrift

Analysis of the uncertainty of wind power predictions

Hochschulschrift

Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

Arbeitspapier

Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

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Analysis of the uncertainty of wind power predictions

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Other Objects (12)

Analysis of the uncertainty of wind power predictions

Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

Analysis of the uncertainty of wind power predictions

Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

Analysis of the uncertainty of wind power predictions

Estimation of uncertainty of wind energy predictions : with application to weather routing and wind power generation

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Development and trending of deep learning methods for wind power predictions

Obtaining superior wind power predictions from a periodic and heteroscedastic Wind Power Prediction Tool

Improving wind power predictions on very short-term scales by including wind speed observations in the power forecast

Quantifying uncertainty in neural network predictions of forced vibrations

Quantifying uncertainty in neural network predictions of forced vibrations

Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors

Uncertainty quantification of flood mitigation predictions and implications for interventions

Uncertainty quantification in fatigue crack-growth predictions

Forecasting of the wind speed under uncertainty

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