Add to ORKGBy the end of 2021, the renewable energy share of the global electricity capacity reached 38.3% and the new installations are dominated by wind and solar energy, showing global increases of 12.7% and 18.5%, respectively. However, both wind and photovoltaic energy sources are highly volatile making planning difficult for grid operators, so accurate forecasts of the corresponding weather variables are essential for reliable electricity predictions. The most advanced approach in weather prediction is the ensemble method, which opens the door for probabilistic forecasting; though ensemble forecast are often underdispersive and subject to systematic bias. Hence, they require some form of statistical post-processing, where parametric models provi...
Statistical post-processing techniques are now used widely for correcting systematic biases and erro...
Photovoltaic systems have become an important source of renewable energy generation. Because solar p...
The energy market relies on forecasting capabilities of both demand and power generation that need t...
In the last decades wind power became the second largest energy source in the EU covering 16% of its...
In the last decades, wind power became the second largest energy source in the EU covering 16% of it...
In order to enable the transition towards renewable energy sources, probabilistic energy forecasting...
The ability to precisely forecast power generation for large wind farms is very important, since suc...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Statistical post-processing of global ensemble weather forecasts is revisited by leveraging recent d...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Accurate forecasting of wind speed and solar radiation can help operators of wind farms and Photo-Vo...
Accurate and reliable forecasting of total cloud cover (TCC) is vital for many areas such as astrono...
Probabilistic forecasting accounts for the uncertainty in prediction that arises from inaccurate inp...
Probabilistic forecasting accounts for the uncertainty in prediction that arises from inaccurate inp...
Statistical post-processing techniques are now used widely for correcting systematic biases and erro...
Photovoltaic systems have become an important source of renewable energy generation. Because solar p...
The energy market relies on forecasting capabilities of both demand and power generation that need t...
In the last decades wind power became the second largest energy source in the EU covering 16% of its...
In the last decades, wind power became the second largest energy source in the EU covering 16% of it...
In order to enable the transition towards renewable energy sources, probabilistic energy forecasting...
The ability to precisely forecast power generation for large wind farms is very important, since suc...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Statistical post-processing of global ensemble weather forecasts is revisited by leveraging recent d...
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when unce...
Accurate forecasting of wind speed and solar radiation can help operators of wind farms and Photo-Vo...
Accurate and reliable forecasting of total cloud cover (TCC) is vital for many areas such as astrono...
Probabilistic forecasting accounts for the uncertainty in prediction that arises from inaccurate inp...
Probabilistic forecasting accounts for the uncertainty in prediction that arises from inaccurate inp...
Statistical post-processing techniques are now used widely for correcting systematic biases and erro...
Photovoltaic systems have become an important source of renewable energy generation. Because solar p...
The energy market relies on forecasting capabilities of both demand and power generation that need t...