基本信息

赵晶 女 硕导 中国科学院大气物理研究所
电子邮件: zhaojing@lasg.iap.ac.cn
通信地址: 北京市朝阳区北辰西路81号中国科学院大气物理研究所
邮政编码:
电子邮件: zhaojing@lasg.iap.ac.cn
通信地址: 北京市朝阳区北辰西路81号中国科学院大气物理研究所
邮政编码:
招生信息
招生专业
070601-气象学
招生方向
数值模拟与人工智能的交叉
教育背景
2014-04--2016-06 中国科学院大气物理研究所 客座学生2013-09--2016-06 兰州大学数学与统计学院 博士2010-09--2013-06 兰州大学数学与统计学院 硕士2006-09--2010-06 兰州大学数学与统计学院 本科
学历
工作经历
工作简历
2021-08~现在, 中国科学院大气物理研究所, 副研究员2016-07~2021-06,中国科学院大气物理研究所, 博士后
出版信息
发表论文
(1) A novel dynamic ensemble of Numerical Weather Prediction for multi-step wind speed forecasting with deep reinforcement learning and error sequence modeling, Energy, 2024, 第 1 作者(2) 基于二次分解和乌鸦搜索算法优化组合模型的超短期风速预测, 太阳能学报, 2024, 第 4 作者 通讯作者(3) 基于灰狼算法和极限学习机的风速多步预测, 郑州大学学报(工学版), 2024, 第 4 作者 通讯作者(4) Combined wind speed forecasting model based on secondary decomposition and quantile regression closed-form continuous-time neural network, INTERNATIONAL JOURNAL OF GREEN ENERGY, 2023, 第 5 作者(5) A hybrid forecasting model for very short-term wind speed prediction based on secondary decomposition and deep learning algorithms, EARTH SCIENCE INFORMATICS, 2023, 第 4 作者 通讯作者(6) A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions, ENERGY, 2021, 第 1 作者(7) Multi-step wind speed forecast based on sample clustering and an optimized hybrid system, RENEWABLE ENERGY, 2021, 第 2 作者 通讯作者(8) A new wind power interval prediction approach based on reservoir computing and a quality-driven loss function, APPLIED SOFT COMPUTING, 2020, 第 4 作者(9) Multi-step wind speed forecasting based on numerical simulations and an optimized stochastic ensemble method, APPLIED ENERGY, 2019, 第 1 作者(10) Wind resource assessment based on numerical simulations and an optimized ensemble system, ENERGY CONVERSION AND MANAGEMENT, 2019, 第 1 作者(11) 基于小波分解和布谷鸟搜索算法的小波神经网络风速预测, Wind speed forecasting based on wavelet decomposition and wavelet neural networks optimized by the Cuckoo search algorithm, ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2019, 第 5 作者(12) Multi-step wind speed and power forecasts based on a WRF simulation and an optimized association method, APPLIED ENERGY, 2017, 第 1 作者(13) 山东半岛风电爬坡事件的识别与天气分析研究, A Study on the Identification and Synoptic Analysis of Wind Ramp Events in Shandong Peninsula, 气候与环境研究, 2017, 第 2 作者(14) A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system, APPLIED SOFT COMPUTING, 2016, 第 4 作者(15) An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed, APPLIED ENERGY, 2016, 第 1 作者(16) Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering, JOURNAL OF ENERGY ENGINEERING, 2016, 第 1 作者(17) Distributed HS-ARTMAP and its forecasting model for electricity load, APPLIED SOFT COMPUTING, 2015, 第 4 作者(18) Hybrid Wind Speed Prediction Based on a Self-Adaptive ARIMAX Model with an Exogenous WRF Simulation, ENERGIES, 2015, 第 2 作者 通讯作者(19) Power generation and renewable potential in China, RENEWABLE AND SUSTAINABLE ENERGY REVIEWS, 2014, 第 1 作者(20) Techniques of applying wavelet de-noising into a combined model for short-term load forecasting, INTERNATIONALJOURNALOFELECTRICALPOWERENERGYSYSTEMS, 2014, 第 5 作者(21) Short-Term Wind Speed Forecasting Using Decomposition-Based Neural Networks Combining Abnormal Detection Method, ABSTRACT AND APPLIED ANALYSIS, 2014, 第 2 作者 通讯作者(22) Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China, OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2012, 第 3 作者(23) A corrected hybrid approach for wind speed prediction in Hexi Corridor of China, ENERGY, 2011, 第 2 作者 通讯作者
科研活动
科研项目
( 1 ) 广西风电场功率预测分析和评估, 负责人, 境内委托项目, 2023-05--2023-12( 2 ) 基于集合预报的河北风光新能源短中期精细化数值预报技术, 参与, 地方任务, 2023-01--2023-12( 3 ) 适用于风速预测的微分神经网络方法及其在风能利用中的应用研究, 负责人, 国家任务, 2019-01--2021-12( 4 ) 地球系统模式试验场景系统研制, 参与, 国家任务, 2017-07--2022-06
参与会议
(1)基于集合数值模拟和深度强化学习的风电场风速预测方法 第五届中国大地测量和地球物理学学术大会 2023-04-21