SHORT-TERM FORECAST FOR THE GROWTH OF INDONESIA'S NEW RENEWABLE ENERGY USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Riski Titian Ginting, Yoga Tri Nugraha, Despaleri Perangin-Angin, Togar Timoteus Gultom, Winner Parluhutan Nainggolan, Delima Sitanggang
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Abstract

Electric power plants always use fossil fuels such as coal, oil, etc. However, the fossil fuel supply in Indonesia is decreasing from year to year. This causes power plants to be powered by using fuels that will not run out, such as solar Energy, water, wind, and others. Solar Energy, water, wind, and others are Alternative Energy or can also be called New and Renewable Energy. To guarantee a power plant powered by alternative Energy, it must be analyzed regarding the growth of new and renewable Energy. The method used in analyzing the development of new and renewable Energy is the Adaptive Neuro Fuzzy Inference System Method. MW or 0.599%. This result has increased yearly in Indonesia's new and renewable energy growth.
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利用自适应神经模糊推理系统对印尼新可再生能源增长的短期预测
发电厂总是使用化石燃料,如煤、石油等。然而,印尼的化石燃料供应正在逐年减少。这导致发电厂使用不会耗尽的燃料,如太阳能、水、风能等。太阳能、水、风能等都是可替代能源,也可以称为新能源和可再生能源。为了保证一个由替代能源驱动的发电厂,必须对新能源和可再生能源的增长进行分析。用于分析新能源和可再生能源发展的方法是自适应神经模糊推理系统方法。MW或0.599%。这使得印尼的新能源和可再生能源每年都在增长。
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