Photovoltaic power generation or wind power generation

Can wind and photovoltaic power generation be combined?

However, the integration of wind and photovoltaic power generation through combined forecasting offers a comprehensive approach that takes into account their coupling relationship. By establishing suitable models and algorithms, accurate power generation forecasts for both energy sources can be achieved.

What is wind-photovoltaic combined power generation forecasting model based on multi-task learning?

Conclusion This paper introduces a wind-photovoltaic combined power generation forecasting model based on multi-task learning. The proposed model takes into account the spatio-temporal correlation between wind and photovoltaic power. The MIC method is firstly used to analyze the correlation between wind and photovoltaic power.

Are wind power and photovoltaic power generation complementary in time?

Thus, wind power and photovoltaic power generation are complementary in time. In the hybrid power generation cluster, integrated energy complementary power generation can effectively improve the new energy consumption capacity of power system [ 30 ].

Is there a correlation between wind and photovoltaic power?

The proposed model takes into account the spatio-temporal correlation between wind and photovoltaic power. The MIC method is firstly used to analyze the correlation between wind and photovoltaic power. Then we propose a novel multi-task learning framework and loss optimization strategy.

What is the wind and PV power generation potential of China?

The wind and PV power generation potential of China is about 95.84 PWh, which is approximately 13 times the electricity demand of China in 2020. The rich areas of wind power generation are mainly distributed in the western, northern, and coastal provinces of China.

Are forecasting effects of photovoltaic power generation better than wind power generation?

Comparing the forecasting effects of wind and photovoltaic power generation, it is evident that the fitting effect and forecasting error of photovoltaic power generation are better than that of wind power generation, which indicates that stable and periodic data can achieve better forecasting performance. Table 5.