Variational bayesian network with information interpretability filtering for air quality forecasting
Air quality plays a vital role in people's health, and air quality forecasting can assist in
decision making for government planning and sustainable development. In contrast, it is …
decision making for government planning and sustainable development. In contrast, it is …
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
Short-term load forecasting has evolved into an important aspect of power system in safe
operation and rational dispatching. However, given the load series' instability and volatility …
operation and rational dispatching. However, given the load series' instability and volatility …
An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China
J Li, J Wang, H Zhang, Z Li - Renewable Energy, 2022 - Elsevier
Wind speed forecasting plays a crucial role in enhancing the operating efficiency of wind
power systems for generating electric power. Currently, a substantial number of approaches …
power systems for generating electric power. Currently, a substantial number of approaches …
Hybrid boosting algorithms and artificial neural network for wind speed prediction
AT Dosdoğru, AÄB İpek - International Journal of Hydrogen Energy, 2022 - Elsevier
Energy sources are an important foundation for national economic growth. The future of
energy sources depend on the energy controls. The reserves of fossil energy have declined …
energy sources depend on the energy controls. The reserves of fossil energy have declined …
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
ZF Liu, YY Liu, XR Chen, SR Zhang, XF Luo, LL Li… - Applied Energy, 2024 - Elsevier
Wind power generation plays a crucial role in promoting the transformation and
advancement of the power industry and fostering sustainable development in society …
advancement of the power industry and fostering sustainable development in society …
A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction
X Guo, W Li, J Qiao - Applied Soft Computing, 2023 - Elsevier
Time series is mostly with a chaotic nature and non-stationary characteristic in real-word,
which makes it difficult to be modeled and predicted accurately. To solve this problem, we …
which makes it difficult to be modeled and predicted accurately. To solve this problem, we …
DynamicNet: A time-variant ODE network for multi-step wind speed prediction
Wind power is a new type of green energy. Though it is economical to access and gather
such energy, effectively matching the energy with consumers' demand is difficult, because of …
such energy, effectively matching the energy with consumers' demand is difficult, because of …
Enhancing the accuracy of wind speed estimation model using an efficient hybrid deep learning algorithm
Estimation of wind speed holds great significance for efficient operation of wind farms and
grid stability. Randomness of wind speed poses a great challenge for accurate estimation of …
grid stability. Randomness of wind speed poses a great challenge for accurate estimation of …
Short-term probabilistic predictions of wind multi-parameter based on one-dimensional convolutional neural network with attention mechanism and multivariate copula …
Wind speed forecast can effectively guide power grid to schedule adjustable sources to
smooth wind uncertainty and ensure system stability. But due to the limited regulating range …
smooth wind uncertainty and ensure system stability. But due to the limited regulating range …
Short-term wind speed forecasting based on hybrid MODWT-ARIMA-Markov model
Markov chains (MC) are statistical models used to predict very short to short-term wind
speed accurately. Such models are generally trained with a single moving window …
speed accurately. Such models are generally trained with a single moving window …