Title Forecasting Power Generation Considering the Climatic Characteristics of Wind Farms Introduced in Local Cities
Authors 김강민(Kim, Kang-Min) ; 나욱정(Na, Wook-Jung) ; 이지애(Lee, Ji-Ae)
DOI https://doi.org/10.5659/JAIK.2023.39.11.161
Page pp.161-167
ISSN 2733-6247
Keywords Renewable energy; Wind power generation; Urban power; Regression analysis
Abstract Korea announced a plan to increase the proportion of renewable energy among domestic power generation to 20% by 2030. Among them, the wind power generation system is aiming to achieve a power generation facility capacity of 17GW. But the rapidly increasing wind power generation system is greatly affected by the climate and the issue of power supply variability is being raised. In addition, due to the difference in mandatory supply and weighting between the government and power generation business man, actualization measures are steadily being raised, and environmental damage is continuously running, so the reasonable and efficient system re-organization is required. On that account, our study conducted a comparative analysis about the amount of wind power generation on wind plant and the city's electricity consumption.Based on the empirical analysis data, we predicted the amount of wind power generation by wind plant through multiple linear regression analysis. These studies are judged on contributing to the efficiency of the targeting area's wind power plant and the evaluation to the independence of power energy in the targeting city.