A new model for carbon neutrality based on PV power generation
DOI:
https://doi.org/10.54097/ankp4059Keywords:
Regression, Time series prediction, ARIMA, GM, Photovoltaic power generation.Abstract
Energy issues has long been a significant problem perplexing multiple countries. Carbon neutrality is an essential area for power generation. The paper studies the feasibility and prospect of photovoltaic power generation through constructing mathematical models to forecast the electricity supply volume and the maximal PV power generation from 2024 to 2060, giving answer to the accessibility of carbon peak and carbon neutrality by 2060. Hence, we build a mathematical model to analyze different factors contributing to the electricity supply in China and predict its trend from the period 2024 to 2060. Combined with the model established in the paper for PV power generation, we reach the conclusion that China can realize carbon peak and carbon neutrality by 2060, which is much helpful for the government to make strategies.
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Yi, T., Tong, L., Qiu, M., & Liu, J. (2019). Analysis of driving factors of photovoltaic power generation efficiency: A case study in China. Energies, 12(3), 355.
Al-Ezzi, A. S., & Ansari, M. N. M. (2022). Photovoltaic solar cells: a review. Applied System Innovation, 5(4), 67.
Zhou, D., Chong, Z., & Wang, Q. (2020). What is the future policy for photovoltaic power applications in China? Lessons from the past. Resources Policy, 65, 101575.
Jian LI, Shenghong LIN, Sanlei DANG. Research of Practical Analysis Method on Solar Photovoltaic Power Economic Benefit[J]. SOUTHERN ENERGY CONSTRUCTION, 2015, 2(2): 129-132.
Zhang X, Zhang X, Lee C C, et al. Measurement and prediction of systemic risk in China’s banking industry[J]. Research in International Business and Finance, 2023, 64: 101874.
Zhou H, Dang Y, Yang D, et al. An improved grey multivariable time-delay prediction model with application to the value of high-tech industry[J]. Expert Systems with Applications, 2023, 213: 119061.
Malik S, Muhammad K, Waheed Y. Nanotechnology: A revolution in modern industry[J]. Molecules, 2023, 28(2): 661.
Rathore B. Integration of Artificial Intelligence& It’s Practices in Apparel Industry[J]. ugc approved research journals in india| UGC Newly Added Journals|(IJNMS), 2023, 10(1): 25-37.
Bai Y, Zhao J. A novel transformer-based multi-variable multi-step prediction method for chemical process fault prognosis[J]. Process Safety and Environmental Protection, 2023, 169: 937-947.
Jayawardena C, Ahmad A, Valeri M, et al. Technology acceptance antecedents in digital transformation in hospitality industry[J]. International Journal of Hospitality Management, 2023, 108: 103350.
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