Search Results - "Zhang, Zhanyao"
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Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting
Published in Applied sciences (01-08-2018)“…Solar photovoltaic (PV) power forecasting has become an important issue with regard to the power grid in terms of the effective integration of large-scale PV…”
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Journal Article -
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Deep Learning Based Surface Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image
Published in IEEE transactions on industry applications (01-07-2020)“…With the increase of solar photovoltaic (PV) penetration in power system, the impact of random fluctuation of PV power on the secure operation of power grid…”
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Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
Published in Energy conversion and management (01-02-2019)“…•The augment of solar irradiance dataset is achieved via the proposed model.•Classification performance can be improved through using the augmented…”
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Journal Article -
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Deep Learning Based Irradiance Mapping Model for Solar PV Power Forecasting Using Sky Image
Published in 2019 IEEE Industry Applications Society Annual Meeting (01-09-2019)“…The entrenched instability of solar power output throttles its further integration into power grids worldwide. Thus the precise solar power forecasting (SPF)…”
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Conference Proceeding -
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基于知识图谱与SCD文件的智能变电站二次检修安全措施自动生成技术研究
Published in 电力系统保护与控制 (2024)“…智能站采用光纤传递数字和模拟信号,使常规站基于"短电流、断电压、拆跳闸"方式的二次安全措施理论不再适用于智能站.为解决传统人工拟票方式编制效率低、错误率高等问题,提出基于知识图谱与智能变电站配置描述文件(substation configuration…”
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Journal Article -
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Application of Fault Analysis Model Based on Multimodal Data in Intelligent Operation and Maintenance of Island Photovoltaic
Published in 2023 International Conference on Computer Science and Automation Technology (CSAT) (06-10-2023)“…With the increasing global energy demand and the severity of environmental issues, photo- voltaic power generation has received increasing attention as a clean…”
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Conference Proceeding