Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting
P Kumari, D Toshniwal - Applied Energy, 2021 - Elsevier
The volatile behavior of solar energy is the biggest challenge in its successful integration
with existing grid systems. Accurate global horizontal irradiance (GHI) forecasting can …
with existing grid systems. Accurate global horizontal irradiance (GHI) forecasting can …
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
LL Li, ZF Liu, ML Tseng, K Jantarakolica… - Expert Systems with …, 2021 - Elsevier
The strong volatility and randomness of wind power impact the grid and reduce the voltage
quality of the grid when wind power is connected to the grid in large scale. The power sector …
quality of the grid when wind power is connected to the grid in large scale. The power sector …
Short-term wind power forecasting based on VMD decomposition, ConvLSTM networks and error analysis
Z Sun, M Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Improving the predicted accuracy of wind power is beneficial to maintaining the secure
operation and dispatching of the power system. Therefore, a combined model consisting of …
operation and dispatching of the power system. Therefore, a combined model consisting of …
A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching
The intermittent and randomness of wind power poses a great challenge to the safe and
stable operation of power systems. Accurate wind power forecasting is a key to reduce the …
stable operation of power systems. Accurate wind power forecasting is a key to reduce the …
A novel network training approach for solving sample imbalance problem in wind power prediction
A Meng, Z Xian, H Yin, J Luo, X Wang, H Zhang… - Energy Conversion and …, 2023 - Elsevier
Randomness and intermittency are common challenges in wind power prediction. Most
studies focus on randomness but usually ignore the intermittency of wind power that leads to …
studies focus on randomness but usually ignore the intermittency of wind power that leads to …
Modified rotor-side converter control design for improving the LVRT capability of a DFIG-based WECS
The rapid integration of wind-power generation with existing power grids has caused
reliability and stability concerns owing to the negative impact on the dynamic behaviors of …
reliability and stability concerns owing to the negative impact on the dynamic behaviors of …
Modeling and performance evaluation of wind turbine based on ant colony optimization-extreme learning machine
X Wen - Applied Soft Computing, 2020 - Elsevier
In this paper, an innovative hybrid multi-variable generator's actual-output-power predicting
model is proposed based on ant colony optimization algorithm and extreme learning …
model is proposed based on ant colony optimization algorithm and extreme learning …
Short‐term wind speed multistep combined forecasting model based on two‐stage decomposition and LSTM
X Liao, Z Liu, W Deng - Wind Energy, 2021 - Wiley Online Library
In order to better extract and study the characteristics of the wind speed in time‐domain and
frequency‐domain, so as to solve the time‐domain randomness and frequency‐domain …
frequency‐domain, so as to solve the time‐domain randomness and frequency‐domain …
Hybrid model based on similar power extraction and improved temporal convolutional network for probabilistic wind power forecasting
Y Chen, Y He, JW Xiao, YW Wang, Y Li - Energy, 2024 - Elsevier
Accurate wind power generation forecasting is of great significance to improve the operation
of power system. Probabilistic forecasting has a higher application value in power grid …
of power system. Probabilistic forecasting has a higher application value in power grid …
Approach for short-term wind power prediction via kernel principal component analysis and echo state network optimized by improved particle swarm optimization …
Z Tian - Transactions of the Institute of Measurement and …, 2021 - journals.sagepub.com
In recent years, short-term wind power forecasting has proved to be an effective technology,
which can promote the development of industrial informatization and play an important role …
which can promote the development of industrial informatization and play an important role …