Current status and future advances for wind speed and power forecasting
J Jung, RP Broadwater - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
This paper presents an overview of existing research on wind speed and power forecasting.
It first discusses state-of-the-art wind speed and power forecasting approaches. Then …
It first discusses state-of-the-art wind speed and power forecasting approaches. Then …
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 …
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 …
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
An overview of numerical and mathematical modelling-based distributed generation (DG)
system optimisation techniques is presented in this review paper. The objective is to …
system optimisation techniques is presented in this review paper. The objective is to …
Improving renewable energy forecasting with a grid of numerical weather predictions
JR Andrade, RJ Bessa - IEEE Transactions on Sustainable …, 2017 - ieeexplore.ieee.org
In the last two decades, renewable energy forecasting progressed toward the development
of advanced physical and statistical algorithms aiming at improving point and probabilistic …
of advanced physical and statistical algorithms aiming at improving point and probabilistic …
Direct quantile regression for nonparametric probabilistic forecasting of wind power generation
The fluctuation and uncertainty of wind power generation bring severe challenges to secure
and economic operation of power systems. Because wind power forecasting error is …
and economic operation of power systems. Because wind power forecasting error is …
Optimal power peak shaving using hydropower to complement wind and solar power uncertainty
Booming renewable energy development, such as wind and solar power, with their
intermittency and uncertainty characteristics, pose challenges for power grid dispatching …
intermittency and uncertainty characteristics, pose challenges for power grid dispatching …
Improved deep mixture density network for regional wind power probabilistic forecasting
H Zhang, Y Liu, J Yan, S Han, L Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unsteady motion of the atmosphere incurs nonlinear and spatiotemporally coupled
uncertainties in the wind power prediction (WPP) of multiple wind farms. This brings both …
uncertainties in the wind power prediction (WPP) of multiple wind farms. This brings both …
Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and …
Uncertainty and instantaneous volatility of wind power make it crucial to schedule the
hydropower scientifically to supply flexibility at multiple timescales in renewable energy …
hydropower scientifically to supply flexibility at multiple timescales in renewable energy …
Transfer learning based multi-layer extreme learning machine for probabilistic wind power forecasting
Y Liu, J Wang - Applied Energy, 2022 - Elsevier
With the increasing penetration of wind power, probabilistic forecasting becomes critical to
quantifying wind power uncertainties and guiding power system operations. This paper …
quantifying wind power uncertainties and guiding power system operations. This paper …