A5041815246- Solar Radiation and Photovoltaics
- Energy Load and Power Forecasting
- Photovoltaic System Optimization Techniques
- Power Systems and Renewable Energy
- Grey System Theory Applications
- Smart Grid and Power Systems
National Chung Cheng University
2022-2025
Photovoltaic power has become one of the most popular forms energy owing to growing consideration environmental factors; however, solar generation brought many challenges for system operations. With regard optimizing safety and reducing costs operations, an accurate reliable forecasting model would be a significant step forward. This study proposes deep learning method improve performance short-term one-hour-ahead forecasting, which includes data preprocessing, feature engineering, kernel...
In the era of big data, large period missing data is a common problem which affect quality and final forecasting results if not handled properly. Therefore, filling in datasets importance since most real-time have huge number values. This paper first gives comprehensive overview various imputation methods for data. Then proposes technique based on popular Multivariate Imputation by Chained Equation (MICE) to fill numeric PV dataset. Finally analyses impact this compares performance with...
Photovoltaic power has become one of the most popular energy due to environmental factors. However, solar generation brought many challenges for system operations. To optimize safety and reduce costs operations, an accurate reliable forecasting model is significance. This study proposes a deep learning method improve performance short-term forecasting, which includes data preprocessing, feature engineering, Kernel Principal Component Analysis, Gated Recurrent Unit Network training mode based...
Solar power is quite intermittent in nature, where it highly dependent on weather conditions. Therefore, accurate forecasting for solar generation essential. Probabilistic forecasts with an uncertainty analysis provide a more comprehensive forecast application. Previous research works have proposed numerous methods probabilistic forecasts, such as quantile regression, interval, density forecasting, and etc. However, these still many drawbacks. Thus, this paper aims to analyze control the of...