A review of deep learning for renewable energy forecasting
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
This paper proposes a novel comprehensive operation and self-healing strategy for a
distribution system with both dispatchable and nondispatchable distributed generators …
distribution system with both dispatchable and nondispatchable distributed generators …
Coordinated energy management of networked microgrids in distribution systems
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 …
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 …
uncertainties and fluctuations of wind and solar based renewable energy production for …
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 …