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, 2021 The wind power generation depends on wind speed and its derivatives like: wind speed and direction. With consideration of stochastic nature of wind power, this work addresses three main issues: first, it discusses the state of art of energy forecasting with emphasis on wind power forecasting. It provides an overview of different variables on which wind
Sumit, Saroha, +2 more
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Wind Farm Power Forecasting [PDF]
Mathematical Problems in Engineering, 2013 Forecasting annual wind power production is useful for the energy industry. Until recently, attention has only been paid to the mean annual wind power energy and statistical uncertainties on this forecasting. Recently, Bensoussan et al. (2012) have pointed that the annual wind power produced by one wind turbine is a Gaussian random variable under a ...
Nabiha Haouas, Pierre R. Bertrand
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IFAC-PapersOnLine, 2018 Abstract Accurate short-term wind power forecast is very important for reliable and efficient operation of power systems with high wind power penetration. There are many conventional and artificial intelligence methods that have been developed to achieve accurate wind power forecasting. Time-series based algorithms are known to be simple, robust, and
Q. Chen, K.A. Folly
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A Novel Wind Power Forecast Model: Statistical Hybrid Wind Power Forecast Technique (SHWIP)
IEEE Transactions on Industrial Informatics, 2015 As the result of increasing population and growing technological activities, nonrenewable energy sources, which are the main energy providers, are diminishing day by day. Due to this factor, efforts on efficient utilization of renewable energy sources have increased all over the world.
Ozkan, Mehmet Baris, Karagoz, Pinar
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Targeted adversarial attacks on wind power forecasts
Machine Learning, 2023 AbstractIn recent years, researchers proposed a variety of deep learning models for wind power forecasting. These models predict the wind power generation of wind farms or entire regions more accurately than traditional machine learning algorithms or physical models.
René Heinrich +3 more
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, 2022 The rising costs and undesirable environmental effects of traditional, nonrenewable energy sources have led to increased research regarding the viability of renewable energy sources. Wind has been the fastest-growing source of electricity generation in the world since the 1990s.
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Multi-Kalman Filter to Wind Power Forecasting [PDF]
2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), 2018 Wind power forecasting methods are important for the safety of wind renewable energy utilization. However, because wind power is weather dependent and, thus, can be variable and intermittent over different time-scales, it's difficult to build accurate and robust predictive models.
Salgado, Paulo +2 more
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Wind Power Forecast Error Simulation Model
World academy of science, engineering and technology, 2015 One of the major difficulties introduced with wind power penetration is the inherent uncertainty in production originating from uncertain wind conditions. This uncertainty impacts many different aspects of power system operation, especially the balancing power requirements.
Vasilj, Josip +2 more
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Correction of wind power forecasting by considering wind speed forecast error [PDF]
Journal of International Council on Electrical Engineering, 2015 With the high penetration level of wind power in power systems, wind power generation is necessary to participate in the generation scheduling to balance supply and demand. If a power system operator wants wind power generation to participate in generation scheduling, wind power should be forecasted accurately.
Woong Ko, Don Hur, Jong-Keun Park
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Evaluating ensemble post‐processing for wind power forecasts
Wind Energy, 2022 Abstract Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when uncertain input variables, such as the weather, play a role. Since ensemble weather predictions aim to capture the uncertainty in the weather system, they can be used to propagate this uncertainty through to subsequent wind power ...
Kaleb Phipps +5 more
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