Paper Publications
- [1]基于长短期记忆网络分位数回归的短期风电功率概率密度预测.太阳能学报,2021,42(2):150-156.
- [2]Crisscross optimization based short-term hydrothermal generation scheduling with cascaded reservoirs.Energy,2020,2031-15.
- [3]基于二次模式分解和级联式深度学习的超短期风电功率预测.电网技术,2020,44(2):445-453.
- [4]基于二次自适应支持向量机的光伏输出功率预测.太阳能学报,2019,40(7):1866-1873.
- [5]基于模糊信息粒化和长短期记忆网络的短期风速预测.电测与仪表,2019,56(11):101-107.
- [6]二层分解技术在电价预测中的应用研究.计算机 应用研究,2019,36(4):1101-1105.
- [7]A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition.Energy,2019,1891-11.
- [8]基于奇异谱分析的短期电价预测.电力系统保护与控制,2019,47(1):115-122.
- [9]基于奇异谱分析-模糊信息粒化和极限学习机的风速多步区间预测.电网技术,2018,42(5):1467-1474.
- [10]基于结合混沌纵横交叉的粒子群算法优化极限学习机的短期负荷预测.电测与仪表,2018,35(7):2088-2091.
- [11]基于CEEMD 和膜计算优化支持向量机的风速预测.电力系统保护与控制,2017,45(21):27-34.
- [12]考虑分布式发电供电概率的配电网重构.电网与清洁能源,2017,33(9):113-123.
- [13]基于可变模式分解和 NWCSO 优化极限学习机的短期风速预测.电力建设,2017,38(6):36-43.
- [14]An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization.Energy Conversion and Management,2017,150108-121.
- [15]二进制纵横交叉算法在配电网重构中的应用.电网技术,2016,40(1):270-275.
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