[HTML][HTML] Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain
Wind power forecasting has supported operational decision-making for power system and
electricity markets for 30 years. Efforts of improving the accuracy and/or certainty of …
electricity markets for 30 years. Efforts of improving the accuracy and/or certainty of …
Post-processing in solar forecasting: Ten overarching thinking tools
D Yang, D van der Meer - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Forecasts are always wrong, otherwise, they are merely deterministic calculations. Besides
leveraging advanced forecasting methods, post-processing has become a standard practice …
leveraging advanced forecasting methods, post-processing has become a standard practice …
A model combining convolutional neural network and LightGBM algorithm for ultra-short-term wind power forecasting
Y Ju, G Sun, Q Chen, M Zhang, H Zhu… - Ieee …, 2019 - ieeexplore.ieee.org
The volatility and uncertainty of wind power often affect the quality of electric energy, the
security of the power grid, the stability of the power system, and the fluctuation of the power …
security of the power grid, the stability of the power system, and the fluctuation of the power …
Deep learning based ensemble approach for probabilistic wind power forecasting
Due to the economic and environmental benefits, wind power is becoming one of the more
promising supplements for electric power generation. However, the uncertainty exhibited in …
promising supplements for electric power generation. However, the uncertainty exhibited in …
A wind speed correction method based on modified hidden Markov model for enhancing wind power forecast
Short-term wind power forecast (WPF) depends highly on the wind speed forecast (WSF),
which is the prime contributor to the forecasting error. To achieve more accurate WPF …
which is the prime contributor to the forecasting error. To achieve more accurate WPF …
Hour-ahead wind power forecast based on random forests
Due to its chaotic nature, the wind behavior is difficult to forecast. Predicting wind power is a
real challenge for dispatchers who need to estimate renewable generation in advance to …
real challenge for dispatchers who need to estimate renewable generation in advance to …
Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network
S Han, Y Qiao, J Yan, Y Liu, L Li, Z Wang - Applied energy, 2019 - Elsevier
The accurate estimation of mid-to-long term wind and photovoltaic power generation is
important to the power grid's plan improvement, dispatching optimization, management …
important to the power grid's plan improvement, dispatching optimization, management …
An analog ensemble for short-term probabilistic solar power forecast
The energy produced by photovoltaic farms has a variable nature depending on
astronomical and meteorological factors. The former are the solar elevation and the solar …
astronomical and meteorological factors. The former are the solar elevation and the solar …
Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
The inherent instability of wind power production leads to critical problems for smooth power
generation from wind turbines, which then requires an accurate forecast of wind power. In …
generation from wind turbines, which then requires an accurate forecast of wind power. In …
Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression
J Hu, J Wang - Energy, 2015 - Elsevier
Short-term wind speed forecasting plays a major role in wind energy plant operations and
the integration of wind power into traditional grid systems. This paper proposes a hybrid …
the integration of wind power into traditional grid systems. This paper proposes a hybrid …