Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
The integration of large-scale wind power introduces issues in modern power systems
operations due to its strong randomness and volatility. These issues can be resolved via …
operations due to its strong randomness and volatility. These issues can be resolved via …
Current status and future advances for wind speed and power forecasting
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 …
Wind power prediction using deep neural network based meta regression and transfer learning
An innovative short term wind power prediction system is proposed which exploits the
learning ability of deep neural network based ensemble technique and the concept of …
learning ability of deep neural network based ensemble technique and the concept of …
Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty
Abstract In the United States, natural gas-fired generators gained increasing popularity in
recent years due to the low fuel cost and emission, as well as the proven large gas reserves …
recent years due to the low fuel cost and emission, as well as the proven large gas reserves …
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 …
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 …
On comparing three artificial neural networks for wind speed forecasting
Wind speed forecasting is critical for wind energy conversion systems since it greatly
influences the issues such as the scheduling of a power system, and the dynamic control of …
influences the issues such as the scheduling of a power system, and the dynamic control of …
[PDF][PDF] The state-of-the-art in short-term prediction of wind power: A literature overview
G Giebel, R Brownsword, G Kariniotakis, M Denhard… - 2011 - orbit.dtu.dk
Deliverable Report Page 1 General rights Copyright and moral rights for the publications made
accessible in the public portal are retained by the authors and/or other copyright owners and it …
accessible in the public portal are retained by the authors and/or other copyright owners and it …
Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach
Accurate wind speed forecasting is becoming increasingly important to improve and
optimize renewable wind power generation. Particularly, reliable short-term wind speed …
optimize renewable wind power generation. Particularly, reliable short-term wind speed …
Bringing wind energy to market
Wind energy is a rapidly growing source of renewable energy generation. However, the
current extra-market approach to its assimilation into the electric grid will not scale at deep …
current extra-market approach to its assimilation into the electric grid will not scale at deep …