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Application of Grey Forecasting Model to Load Forecasting of Power System
2011The grey GM (1, 1) model is a kind of more effective load forecasting model, however, because power load has diversity, causing some variation is larger, the load forecasting error cannot match the requirements. Precision in practical application has certain limitations.
Yan Yan +4 more
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Solar Power Generation Forecasting Service
2019 International Conference on Information and Communication Technology Convergence (ICTC), 2019Starting in February 2019, the small-scale electricity brokerage market was opened and electricity aggregators were allowed to sell electricity markets. The ability of electricity aggregators to accurately predict the generation of electricity is competitive in electricity market and Renewable Energy Certificates (REC) transactions.
Jeong-In Lee +3 more
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The Power Load Forecasting by Kernel PCA
2010We use one year's subset to train the Support Vector Machines (SVM) and the next year's data was used for testing with Kernel Principal Components Analysis (KPCA). This is clearly not optimal for a non-stationary time series such as we have here nevertheless the MAPE of peak load data set with back-propagation neural network [Chuang et al., 1998] is 3 ...
Fang-Tsung Liu +3 more
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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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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
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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Adversarial Attacks to Solar Power Forecast
2021 IEEE Global Communications Conference (GLOBECOM), 2021Ningkai Tang, Shiwen Mao, R. Mark Nelms
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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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