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- W2979427105 abstract "In the past decade, energy is generated largely by burning fossil fuels that lead to huge carbon emission in the environment. These fossil fuels are getting extinct and we need an alternative for fulfilling our demand. Due to the increasing power demand day by day renewable energy plays a vital role in the supply of energy worldwide. Wind energy is a clean and eco-friendly energy source. It is increasingly accepted as a major complementary energy source for securing a sustainable and clean energy in developing countries. Wind energy is an alternative source and extensive research work is being conducted to identify the potential regions for the wind sources in india. The energy output of wind farms is dependent on meteorological parameters present at that site and the essential parameter is wind speed. In this research work data mining techniques are used to identify the important meteorological parameters that influences wind power generation. The paper uses clustering algorithms to identify patterns of potential location for wind energy generation based on wind speed." @default.
- W2979427105 created "2019-10-18" @default.
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- W2979427105 date "2019-02-01" @default.
- W2979427105 modified "2023-09-23" @default.
- W2979427105 title "Identification of Potential Regions for Wind Power Development Using Data Mining" @default.
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- W2979427105 doi "https://doi.org/10.1109/comitcon.2019.8862192" @default.
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