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[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
A review on the selected applications of forecasting models in renewable power systems
This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
[HTML][HTML] An overview of performance evaluation metrics for short-term statistical wind power forecasting
Wind power forecasting has become an essential tool for energy trading and the operation
of the grid due to the increasing importance of wind energy. Therefore, estimating the …
of the grid due to the increasing importance of wind energy. Therefore, estimating the …
Probabilistic forecasting of wind power generation using extreme learning machine
Accurate and reliable forecast of wind power is essential to power system operation and
control. However, due to the nonstationarity of wind power series, traditional point …
control. However, due to the nonstationarity of wind power series, traditional point …
[HTML][HTML] Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
The variability of renewable energy resources, due to the characteristic weather fluctuations,
introduces uncertainty in generation output that are greater than the conventional energy …
introduces uncertainty in generation output that are greater than the conventional energy …
Integration costs revisited–An economic framework for wind and solar variability
The integration of wind and solar generators into power systems causes “integration costs”–
for grids, balancing services, more flexible operation of thermal plants, and reduced …
for grids, balancing services, more flexible operation of thermal plants, and reduced …
Review on probabilistic forecasting of wind power generation
Y Zhang, J Wang, X Wang - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
The randomness and intermittence of wind resources is the biggest challenge in the
integration of wind power into the power system. Accurate forecasting of wind power …
integration of wind power into the power system. Accurate forecasting of wind power …
Balancing power and variable renewables: Three links
L Hirth, I Ziegenhagen - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Balancing power is used to quickly restore the supply-demand balance in power systems.
The need for this tends to be increased by the use of variable renewable energy sources …
The need for this tends to be increased by the use of variable renewable energy sources …
Deep learning-based multivariate probabilistic forecasting for short-term scheduling in power markets
In the current competition framework governing the electricity sector, complex dependencies
exist between electrical and market data, which complicates the decision-making procedure …
exist between electrical and market data, which complicates the decision-making procedure …
Global energy forecasting competition 2012
Abstract The Global Energy Forecasting Competition (GEFCom2012) attracted hundreds of
participants worldwide, who contributed many novel ideas to the energy forecasting field …
participants worldwide, who contributed many novel ideas to the energy forecasting field …