1. 人工智能导论

2. 数据科学导论

3. Python语言与信息处理

[1] 高质量发展背景下浙江省碳强度的驱动因素与目标分配研究(23NDJC171YB)，浙江省哲学社会科学规划课题

[1] Zhou K, Zhang Z, Zhang C. Data-driven scenario generation for energy storage capacity planning in microgrids[J]. Journal of Energy Storage, 2026, 161: 121979.

[2] Zhang C, Su B, Zhou K, Sun Y. A multi-dimensional analysis on microeconomic factors of China's industrial energy intensity (2000–2017)[J]. Energy Policy, 2020, 147.

[3] Zhang C, Su B, Zhou K, Yang S. Decomposition analysis of China's CO2 emissions (2000–2016) and scenario analysis of its carbon intensity targets in 2020 and 2030[J]. Science of The Total Environment, 2019, 668: 432-442.

[4] Zhang C, Su B, Zhou K, Yang S. Analysis of electricity consumption

(1990-2016) using index decomposition and decoupling approach[J]. Journal of Cleaner Production,2019 209:224-235.

[5] Zhang C, Zhou K, Yang S, Zhen S. On electricity consumption and economic growth in China[J]. Renewable and Sustainable Energy Reviews, 2017, 76: 353-368.

[6] Zhang C, Zhou K, Yang S, Zhen S. Exploring the transformation and upgrading of China's economy using electricity consumption data: A VAR–VEC based model[J]. Physica A: Statistical Mechanics and its Applications, 2017, 473: 144-155.