特征(语言学)
电
太阳能
气象学
计算机科学
建筑
能源消耗
环境科学
环境经济学
人工智能
工程类
电气工程
地理
经济
哲学
语言学
考古
作者
Md. Tawhid Anwar,Md. Farhadul Islam,Md. Golam Rabiul Alam
标识
DOI:10.1145/3589883.3589890
摘要
For developing nations like Bangladesh, the Calamity of Energy, one of the most important warnings experienced in the modern world, is a significant problem. Solar energy is a great solution for the future. When solar panels are used to create electricity, no greenhouse gas emissions are produced. Solar energy is essential to the shift to the production of clean energy because the sun generates more electricity than people could possibly need. In this study, for better planning and decision making for solar energy consumption, we propose a forecasting model based on Bangladeshi data. We collected the data from NSRDB(National Solar Radiation Database). Using meteorological data of 4 Regions of Bangladesh - Chittagong(CTG), Khulna(KHU), Sylhet(SYL), Rajshahi(Raj). Firstly, we find the most important feature for radiation prediction and we conduct a regression analysis based on the selected feature, then for time series analysis, we use state-of-the-art N-BEATS architecture, which gives us impressive results with very low computational cost and time. N-BEATS outperformed other popular models like LSTM and SARIMA.
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