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A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression

机译：基于改进高斯过程回归的中国短期可再生能源消费预测方法

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1. A Gaussian process regression based hybrid approach for short-term wind speed prediction [J] . Zhang Chi, Wei Haikun, Zhao Xin, Energy Conversion & Management . 2016,第OCTa期

机译：基于高斯过程回归的混合方法用于短期风速预测
2. Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach [J] . Yu J. Chemical Engineering Science . 2012,第Null期

机译：基于有限混合模型的高斯过程回归方法对非线性和非高斯化学过程的动力学动力学在线预测
3. Investigating effect of socio-economic and climatic variables in urban water consumption prediction via Gaussian process regression approach [J] . Roushangar Kiyoumars, Alizadeh Farhad Water science & technology . 2018,第1a2期

机译：高斯过程回归方法研究社会经济和气候变量在城市用水量预测中的作用
4. A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data [C] . Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova International Conference on Information Fusion . 2018

机译：基于时间序列数据的天然气消费量预测的高斯过程回归
5. Synergistic Human-Machine Prediction: Active Error Analysis and Mitigation with Gaussian Process Regression [D] . Claros Olivares, Claudio Cesar. 2020

机译：协同机会人机预测：高斯过程回归的主动误差分析与缓解
6. Prediction of train wheel diameter based on Gaussian process regression optimized using a fast simulated annealing algorithm [O] . Xiaoying Yu, Hongsheng Su, Zeyuan Fan, 2019

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7. A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data [O] . Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova 2018

机译：基于时间序列数据的天然气消耗预测的高斯过程回归

A Novel Prediction Approach for Short-Term Renewable Energy Consumption in China Based on Improved Gaussian Process Regression

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