Medium- and Long-Term Wind-Power Forecasts, Considering Regional Similarities
نویسندگان
چکیده
Accurate and efficient medium- long-term forecasts of wind power can provide technical support for the development utilization resources. Considering regional characteristics resources, regional-similarity factor was introduced into study wind-power forecasting, and, to assess dependence power, long-short-term-memory method selected forecasting trends in a case carried out Northwest China. The results showed that error presented reduced by an average 20.80%, compared with individual stations, which verified effectiveness considering wind-resource prediction. Different area-division methods resulted different effects on prediction accuracy. This provides new approach reference
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2023
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos14030430