Power Engineering Cost Prediction Based on Clara Algorithm to Optimize SVM Parameters
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2287-1_52
Reference10 articles.
1. Xu, X., Peng, L., Ji, Z., et al.: Research on substation project cost prediction based on sparrow search algorithm optimized BP Neural network. Sustainability 13, 13746 (2021)
2. Ma, L., Wang, Q., Liao, S., et al.: Research on cost prediction of power transmission and transformation project based on combination prediction model. In: IOP Conference Series: Earth and Environmental Science, vol. 769, no. 4, p. 042019 (7pp)
3. Wang, H., Liang, Y., Ding, W., et al.: The improved least square support vector machine based on wolf pack algorithm and data inconsistency rate for cost prediction of substation projects. In: Mathematical Problems in Engineering, vol. 2020 (2020)
4. Tan, P., Duc, T., Tran, C.M., et al.: Continuous QoE prediction based on WaveNet. In: ICCAE 2020: 2020 12th International Conference on Computer and Automation Engineering (2020)
5. Zhang, Y., Pan, G., Chen, B., et al.: Short-term wind speed prediction model based on GA-ANN improved by VMD. Renew. Energy 156, 1373–1388 (2020)
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