چکیده مقاله
Global climate change necessitates prompt action to minimize greenhouse gas emissions from fossil fuel fired electricity generation facilities Solar thermal energy may be used in a variety of ways to replace heat provided by fossil fuels in existing power facilities In this study, using the Linear Regression algorithm, the powers of a solar farm were predicted and a very good value of 1 0722 was achieved for the RMSE evaluation criterion It is easy to think of replacing renewable energy with fossil fuels
کلیدواژهها
نویسندگان
Seyed Matin Malakoti
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Amir Rikhtehgar Ghiasi
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
شیوه ارجاع
Malakoti, Seyed Matin and Rikhtehgar Ghiasi, Amir and Rikhtehgar Ghiasi, Amir,1401,Predicting the capacity of solar farms using a Linear Regression algorithm toreplace renewable energy with fossil fuels,The 1st National Conference on Environmental Challenges: Green Industry and Mining,Tehran
ارائهشده در
مجموعه مقالات نخستین کنفرانس ملی چالش های محیط زیست: صنعت و معدن سبز28 اردیبهشت 1401 · تهران