Monthly Renewable Energy Forecasting Based on Multi-Model Fusion Techniques

Author:

Yang Yinguo1,Xie Pingping1,Liu Yang1,Lu Qiuyu1

Affiliation:

1. Dispatching control center of Guangdong Power Grid Co., Ltd,Guangzhou,China,510000

Publisher

IEEE

Reference13 articles.

1. Analysis of daily solar power prediction with data-driven approaches

2. Hybrid deep neural model for hourly solar irradiance forecasting

3. Adaptive photovoltaic short-term output forecasting model based on machine learning;Gao;Power System Technology,2015

4. A Hybrid Forecasting Method for Wind Power Ramp Based on Orthogonal Test and Support Vector Machine (OT-SVM)

5. Adaboost weather clustering short-term forecasting method for photovoltaic power generation in microgrids;Tan;Automation of Electric Power Systems,2017

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