Forecasting China’s Hydroelectric Power Generation Under the 
New Era Based on Grey Combination Model

The Journal of Grey System ›› 2023, Vol. 35 ›› Issue (2): 149-166.

Forecasting China’s Hydroelectric Power Generation Under the New Era Based on Grey Combination Model

1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, P.R.China 2. School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, P.R.China 3. Centre for Computational Intelligence, De Montfort University, Leicester, LE1 9BH, UK 4. Chongqing Port Logistics Management and Shipping Economy Research Center, Chongqing 400074, P.R.China

Online:2023-06-01 Published:2023-06-02

Abstract

Abstract: It's necessary to forecast hydroelectric power generation under the background of carbon peak. Firstly, based on the three-parameter whitening grey prediction model, the order of the accumulating-fractional-order in the real field and the coefficients of the background value are combined and optimized to establish a two-parameter optimized three-parameter whitening grey prediction model. The model is applied to predict China's hydroelectric power generation, and the comprehensive error is only 1.13%, indicating that the model has good performance. The results show that the carbon peak target can be achieved by 2030. Based on this, relevant countermeasures and suggestions are put forward.

Key words: Grey Prediction, Three-parameter Whitening Prediction Model, Parameter Combination Optimization, Hydroelectric Power Generation

Shuliang Li, Nannan Song, Ke Gong, Bo Zeng, Yingjie Yang. Forecasting China’s Hydroelectric Power Generation Under the New Era Based on Grey Combination Model[J]. The Journal of Grey System, 2023, 35(2): 149-166.

[1]	Jing Ye, Luolan Zhang. Grey BP Neural Network Combinatorial Model with Time-delay Causal Term and its Application [J]. The Journal of Grey System, 2025, 37(4): 1-12.
[2]	Ping Wang, Jiaming Liang, Jihong Sun. Analysis of Grey Correlation Between Professional Layout and Industrial Structure in Xinjiang Higher Vocational Colleges [J]. The Journal of Grey System, 2025, 37(3): 73-82.
[3]	Xinyu Wang, Xinquan Liu, Yingyi Huang, Che-Jung Chang, Jianhong Guo. Multivariate Fractional Grey Model for Port Throughput Prediction [J]. The Journal of Grey System, 2025, 37(2): 23-32.
[4]	Yanan Li, Liang Zeng. An Optimization Scheme for Enhancing the Performance of Fractional-order Grey Prediction Models in Seasonal Forecasting Tasks: the Case of the Fractional-order GM(1,1) Model [J]. The Journal of Grey System, 2024, 36(5): 96-105.
[5]	Qian Lv, Xinping Xiao, Mingyun Gao. Novel Grey SIRS Model Forecasts Credit Risk with Nonlinear Infection [J]. The Journal of Grey System, 2024, 36(5): 43-57.
[6]	Ye Li , Dongyu Liu, Meidan Xiao, Bin Liu. An Optimized Multivariate Grey Bernoulli Model for Forecasting Fossil Energy Consumption in China [J]. The Journal of Grey System, 2024, 36(2): 67-78.
[7]	Yuanping Ding, Yaoguo Dang, Junjie Wang, Qingyuan Xue. Forecasting PM_2.5Concentration with a Novel Seasonal Discrete Multivariable Grey Model Incorporating Spatial Influencing Factors [J]. The Journal of Grey System, 2024, 36(2): 37-53.
[8]	Dang Luo, Xinqing Qiao . Time-Delay TLDBGM(1,N) model with dynamic background value and its application [J]. The Journal of Grey System, 2024, 36(1): 63-78.
[9]	Ye Li, Dongyu Liu, Junjuan Liu, Meidan Xiao. Interaction-based nonlinear INDGM(1,N) model and its application [J]. The Journal of Grey System, 2024, 36(1): 56-62.
[10]	Sihao Chen, Yongshan Liu, Huiming Duan. A Novel Logistic Multivariate Grey Prediction Model for Energy Consumption: A case study of China Coal [J]. The Journal of Grey System, 2023, 35(4): 132-153.
[11]	Quntao Fu, Shuhua Mao. Adaptive Fluctuation Grey Model withAK Fractional Derivative for Short-term Traffic Flow Prediction [J]. The Journal of Grey System, 2023, 35(4): 108-131.
[12]	Jiefang Liu, Rongrong Yang, Pumei Gao, Kun Yang. Research on Grey Power Model Based on Periodic Wave Sequence and Its Application [J]. The Journal of Grey System, 2023, 35(3): 27-38.
[13]	Weiliang Zhang, Sifeng Liu, Junliang Du, Lianyi Liu, Xiaojun Guo, Zurun Xu . A Framework of Grey Prediction Models on China's Population Aging Under the Perspective of Regional Differences [J]. The Journal of Grey System, 2022, 34(4): 1-.
[14]	Yichung Hu, Geng Wu, Shuju Tsao. A Novel Grey Seasonal Prediction Model for Container Throughput Forecasting [J]. The Journal of Grey System, 2022, 34(3): 135-147.
[15]	Ye Li, Yuanping Ding , Bin Liu. Multi-variable DGMTP(1,N,α ) Prediction Model with Time Polynomial [J]. The Journal of Grey System, 2021, 33(3): 100-115.

Forecasting China’s Hydroelectric Power Generation Under the New Era Based on Grey Combination Model

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments