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2014
The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble modeling with artificial intelligence methods. This state-of-the-science forecasting system includes specific technologies for short-term detection of wind power ramps, including a Variational ...
Sue Ellen Haupt +2 more
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The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble modeling with artificial intelligence methods. This state-of-the-science forecasting system includes specific technologies for short-term detection of wind power ramps, including a Variational ...
Sue Ellen Haupt +2 more
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Fresh forecasts [wind power forecasting]
Power Engineer, 2005Wind power forecasting falls broadly into two headings: statistical or physical modelling. Statistical modelling makes no real attempt to model the physical processes that drive the wind, but relies on previous wind speed patterns over time to make a prediction.
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Assessment of power curves in models of wind power forecasting
2016 International Joint Conference on Neural Networks (IJCNN), 2016The modeling of wind power curve is important in turbine performance monitoring and in wind power forecasting. There are several techniques to fit the power curve of a wind turbine, which can be classified into parametric and nonparametric methods. This paper explores the advantages offered by the nonparametric methods for modeling of wind turbine ...
Ronaldo Ribeiro Barbosa de Aquino +6 more
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Ensemble Methods for Solar Power Forecasting
2020 International Joint Conference on Neural Networks (IJCNN), 2020We consider the task of predicting the solar power generated by a photovoltaic system, one-step ahead, from previous half-hourly photovoltaic power data. We propose a range of strategies for constructing static and dynamic heterogeneous ensembles and conduct an extensive evaluation using data for two years from two Australian solar power plants.
Zezhou Chen, Irena Koprinska
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Detection, mining and forecasting of impact load in power load forecasting
Applied Mathematics and Computation, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianzhou Wang, Zhixin Ma, Lian Li
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The Forecasting Power of the CAPM
SSRN Electronic Journal, 2019The relationship between risk and an expected return of an investment lays in the capital asset pricing model (CAPM). The main objective is to capitalize on the valuation of future benefits. The CAPM will thus provide insight into the appropriate rate of return of an asset for better decision making. CAPM ensures a relatively accurate prediction of the
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Forecasting System for Solar-Power Generation
2021Environmental protection is a highly concerned and thought-provoking issue, and the way of generating electricity has become a major conundrum for all mankind. Renewable or green energy is an ideal solution for environmentally friendly (eco-friendly) power generation.
Jia-Hao Syu, Chi-Fang Chao, Mu-En Wu
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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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Forecasting Methods in Electric Power Sector
International Journal of Energy Optimization and Engineering, 2018Electric power plays a vibrant role in economic growth and development of a region. There is a strong co-relation between the human development index and per capita electricity consumption. Providing adequate energy of desired quality in various forms in a sustainable manner and at a competitive price is one of the biggest challenges.
Sujit Kumar Panda +2 more
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