Title: Investment risk prediction method of renewable energy market under the background of carbon neutralisation

Authors: Chunxia Liu

Addresses: Department Management, Shandong Polytechnic, JiNan 250104, China

Abstract: To improve the accuracy of market investment risk prediction and reduce the time consumption of investment risk prediction, this paper proposes a renewable energy market investment risk prediction method under the background of carbon neutralisation. Firstly, based on the background of carbon neutrality, the earned value management theory is used to quantitatively describe the investment risk of renewable energy market. Secondly, aiming at carbon neutralisation, the system dynamics method is used to design the investment risk prediction function of renewable energy market. Finally, the residual test is used to verify the investment risk prediction results of the energy market, so as to realise the investment risk prediction of the renewable energy market. The results show that the accuracy of market investment risk prediction of this method is 96.5%, and the time of investment risk prediction is only 8.6 s. It can accurately predict the investment risk of renewable energy market.

Keywords: carbon neutralisation; system dynamics method; renewable energy; market investment; risk prediction.

DOI: 10.1504/IJGEI.2023.132016

International Journal of Global Energy Issues, 2023 Vol.45 No.4/5, pp.395 - 407

Received: 22 Apr 2022
Accepted: 27 Jul 2022
Published online: 06 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article