Results 231 to 240 of about 45,151 (266)
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2007
While considerable progress has been made in wind power forecasting in the last decade or so, in terms of better understanding of the processes involved and higher accuracy of the forecasts, there is still plenty of scope for improvement. Clearly forecasts for the wind power production of whole regions or supply areas are more accurate than forecasts ...
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While considerable progress has been made in wind power forecasting in the last decade or so, in terms of better understanding of the processes involved and higher accuracy of the forecasts, there is still plenty of scope for improvement. Clearly forecasts for the wind power production of whole regions or supply areas are more accurate than forecasts ...
openaire +1 more source
ANN backpropagation power consumption forecasting
IEEE EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), 2015The paper is focusing on artificial neural networks (ANN) based load forecasting. It is applied for hourly load and daily load curves forecasting. The backpropagation algorithm is presented. The basic propagation algorithm is completed with conjugated gradient and parabolic interpolation. A software tool has been developed in Matlab environment.
Raluca Schiopu +4 more
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2019
Solar energy is a promising environmentally-friendly energy source. Yet its variability affects negatively the large-scale integration into the electricity grid and therefore accurate forecasting of the power generated by PV systems is needed. The objective of this thesis is to explore the possibility of using machine learning methods to accurately ...
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Solar energy is a promising environmentally-friendly energy source. Yet its variability affects negatively the large-scale integration into the electricity grid and therefore accurate forecasting of the power generated by PV systems is needed. The objective of this thesis is to explore the possibility of using machine learning methods to accurately ...
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Modeling and Forecasting Photovoltaic Power Production
2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2023Diogo Ribeiro +3 more
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Adversarial Attacks to Solar Power Forecast
2021 IEEE Global Communications Conference (GLOBECOM), 2021Ningkai Tang, Shiwen Mao, R. Mark Nelms
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A review of wind speed and wind power forecasting with deep neural networks
Applied Energy, 2021Yun Wang, Qianyi Liu, Runmin Zou
exaly
Wind Power Forecasting using LSTMs
2021 60th IEEE Conference on Decision and Control (CDC), 2021Sanjana Vijayshankar +2 more
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