Photovoltaic power generation support machine

How to forecast power generation output from PV?

In past, mathematical technique has been applied to forecast power generation output from PV. These methods can be categorised into Persistence model and Statistical method. Unfortunately, this technique generally produces low accuracy forecasting and also fails to work correctly with non-linear data.

Can photovoltaic power forecasting improve bi-LSTM in microgrid without meteorological information?

Hao, Z. et al. Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information. Energy 231, 120908 (2021). Mingzhang Pan, Chao Li, Ran Gao, et al. Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization [J]. Journal of Cleaner Production,2020,277.

How machine learning is used in solar power generation forecasting?

Machine learning techniques (ANN, SVM, ELM) are being widely used nowadays in solar power generation forecasting to achieve the best forecasting accuracy based on performance parameters such as RMSE, MAPE, MABE R and R2. These techniques can deal with non-stationary data patterns.

How accurate is the power generation forecasting model for PV power stations?

Li et al. proposed a power generation forecasting model for PV power stations based on the combination of principal component analysis (PCA) and backpropagation NNs (BPNNs); the examples in their paper show that the method proposed by the authors have high prediction accuracy.

Which regression model is used for PV power generation forecasting?

Two models, simple and multiple linear regression models were used for PV power generation forecasting. The regression model using two inputs proved to be better than with only one input. Therefore, the requirement for a large number of explanatory variables and a mathematical model is the limitation for this method .

Which method is used to predict photovoltaic power generation?

The direct method includes statistical prediction method and artificial intelligence prediction method. The statistical prediction method conducts curve fitting according to historical data such as weather and solar radiation to establish the mapping model of input and output and realize the prediction of photovoltaic power generation 8.