Fig. 2: Impacts of installed capacity, power generation and first-order difference of time series.
From: Inherent spatiotemporal uncertainty of renewable power in China
a wind installed capacity, (b) solar installed capacity, (c) wind hourly first-order difference, and (d), solar daily first-order difference. Here we use daily and hourly data to analyze solar and wind energy, respectively, which are presented in the x-axis. Each bubble indicates less influential factors, including wind or solar generation, wind daily first-order difference, and solar hourly first-order difference, respectively. The radius of each bubble is the value of each factor. The number of bubbles is 30, representing the 30 provinces of China, excluding Tibet (wind), Chongqing (solar), Hong Kong, Macao, and Taiwan. The black linear regression line fits the center of the bubbles, complemented by the slope, intercept, and coefficient of determination (CoD). The color of each bubble indicates the different categories: red—category with the largest prediction error; yellow—category with the second-largest prediction error; blue—category with the third-largest prediction error; green—category with the smallest prediction error. MW Megawatt.
