基于高阶马尔可夫链和高斯混合模型的光伏出力短期概率预测[J]. 刘洁;林舜江;梁炜焜;王琼;刘明波.电网技术,2023(01)

基于高斯混合模型的光伏发电功率概率区间预测[J]. 周帆;郑常宝;胡存刚;芮涛.科学技术与工程,2021(24)

新能源电力系统概率预测：基本概念与数学原理[J]. 万灿;崔文康;宋永华.中国电机工程学报,2021(19)

基于藤copula分位数回归的光伏功率日前概率预测[J]. 许彪;徐青山;黄煜;宋菁;吉用丽;丁逸行.电网技术,2021(11)

一种改进的BRICH算法及其应用[J]. 张虎;陈建斌;魏欢.软件导刊,2015(10)

Multitasking recurrent neural network for photovoltaic power generation prediction[J]. Song Hui;Khafaf Nameer Al;Kamoona Ammar;Sajjadi Samaneh Sadat;Amani Ali Moradi;Jalili Mahdi;Yu Xinghuo;McTaggart Peter.Energy Reports,2023

Probabilistic Models for Spatio-Temporal Photovoltaic Power Forecasting[J]. Agoua Xwegnon Ghislain;Girard Robin;Kariniotakis George.IEEE Transactions on Sustainable Energy,2019

Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network[J]. Yaoyao He;Yang Qin;Shuo Wang;Xu Wang;Chao Wang.Applied Energy,2019

Probabilistic forecasting of seasonal droughts in the Pearl River basin, China[J]. Yongqin David Chen;Qiang Zhang;Mingzhong Xiao;Vijay P. Singh;Sheng Zhang.Stochastic Environmental Research and Risk Assessment,2016

Short‐term photovoltaic power prediction based on MDCM‐GA‐LSTM model[J]. Liu Tianze;Liu Shusen;Wang Shunjiang;Ma Yanjuan.The Journal of Engineering,2022