A review of deep learning for renewable energy forecasting

H Wang, Z Lei, X Zhang, B Zhou, J Peng - Energy Conversion and …, 2019 - Elsevier
As renewable energy becomes increasingly popular in the global electric energy grid,
improving the accuracy of renewable energy forecasting is critical to power system planning …

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

T Ahmad, H Zhang, B Yan - Sustainable Cities and Society, 2020 - Elsevier
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …

Short-term wind speed forecasting using recurrent neural networks with error correction

J Duan, H Zuo, Y Bai, J Duan, M Chang, B Chen - Energy, 2021 - Elsevier
As a type of clean energy, wind energy has been effectively used in power systems.
However, due to the influence of the atmospheric boundary layer, wind speed exhibits …

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

P Lu, L Ye, Y Zhao, B Dai, M Pei, Y Tang - Applied Energy, 2021 - Elsevier
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 …

A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error

J Duan, M Chang, X Chen, W Wang, H Zuo, Y Bai… - Renewable Energy, 2022 - Elsevier
Wind speed forecasting is the key to wind power conversion and management in smart
grids. In this paper, a new hybrid model is proposed, which is composed of empirical mode …

Review of energy storage system for wind power integration support

H Zhao, Q Wu, S Hu, H Xu, CN Rasmussen - Applied energy, 2015 - Elsevier
With the rapid growth of wind energy development and increasing wind power penetration
level, it will be a big challenge to operate the power system with high wind power …

Self-healing resilient distribution systems based on sectionalization into microgrids

Z Wang, J Wang - IEEE Transactions on Power Systems, 2015 - ieeexplore.ieee.org
This paper proposes a novel comprehensive operation and self-healing strategy for a
distribution system with both dispatchable and nondispatchable distributed generators …

Coordinated energy management of networked microgrids in distribution systems

Z Wang, B Chen, J Wang, MM Begovic… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper proposes a novel control strategy for coordinated operation of networked
microgrids (MGs) in a distribution system. The distribution network operator (DNO) and each …

Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability

W Dong, X Chen, Q Yang - Applied Energy, 2022 - Elsevier
Efficient and reliable scenario generation is of paramount importance in the modeling of
uncertainties and fluctuations of wind and solar based renewable energy production for …

Probabilistic forecasting of wind power generation using extreme learning machine

C Wan, Z Xu, P Pinson, ZY Dong… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …