Short-Term Wind Speed Forecasting Based on Low Redundancy Feature Selection
نویسندگان
چکیده
منابع مشابه
Forecasting of Wind Speed Using Feature Selection and Neural Networks
Wind energy is rapidly increasing and it is becoming a significant contributor to the electricity grid. Wind speed is an important factor in wind power production and integration. This paper presents a wind speed forecasting using feature selection method and bagging neural network. Feature selection plays an essential role in the machine learning environment and especially in the prediction ta...
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The emphasis on renewable energy and concerns about the environment have led to large-scale wind energy penetration worldwide. However, there are also significant challenges associated with the use of wind energy due to the intermittent and unstable nature of wind. High-quality short-term wind speed forecasting is critical to reliable and secure power system operations. This article begins with...
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ژورنال
عنوان ژورنال: Energies
سال: 2018
ISSN: 1996-1073
DOI: 10.3390/en11071638