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Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen …
C Zhang, X Qiao, Z Zhang, Y Wang, Y Fu, MS Nazir… - Energy, 2024 - Elsevier
The global increase in energy demand and environmental concerns have made the
development of wind energy increasingly important. Accurate wind speed prediction is …
development of wind energy increasingly important. Accurate wind speed prediction is …
A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination
MB Nafouanti, J Li, EE Nyakilla… - … Science and Pollution …, 2023 - Springer
Groundwater quality in the Datong basin is threatened by high fluoride contamination.
Laboratory analysis is a standard method for estimating groundwater quality parameters …
Laboratory analysis is a standard method for estimating groundwater quality parameters …
Statistical wind speed forecasting models for small sample datasets: Problems, Improvements, and prospects
Wind speed forecasting models have seen significant development and growth in recent
years. In particular, hybrid models have been emerging since the last decade. Hybrid …
years. In particular, hybrid models have been emerging since the last decade. Hybrid …
Departure flight delay prediction due to ground delay program using Multilayer Perceptron with improved sparrow search algorithm
X Dong, X Zhu, J Zhang - The Aeronautical Journal, 2024 - cambridge.org
The ground delay program (GDP) is a commonly used tool in air traffic management.
Develo** a departure flight delay prediction model based on GDP can aid airlines and …
Develo** a departure flight delay prediction model based on GDP can aid airlines and …
Foretelling the compressive strength of concrete using twin support vector regression
Characteristic compressive strength is a key and crucial physical attribute of concrete used
in various design standards and rules. In this study, twin support vector regression (TSVR) is …
in various design standards and rules. In this study, twin support vector regression (TSVR) is …
Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction
Precise wind speed prediction is crucial for the management of the wind power generation
systems. However, the stochastic nature of the wind speed makes optimal interval prediction …
systems. However, the stochastic nature of the wind speed makes optimal interval prediction …
Short-term wind speed prediction based on improved Hilbert–Huang transform method coupled with NAR dynamic neural network model
J Chen, Z Guo, L Zhang, S Zhang - Scientific Reports, 2024 - nature.com
Wind energy, as a renewable energy source, offers the advantage of clean and pollution-
free power generation. Its abundant resources have positioned wind power as the fastest …
free power generation. Its abundant resources have positioned wind power as the fastest …
A methodology for predicting ground delay program incidence through machine learning
X Dong, X Zhu, M Hu, J Bao - Sustainability, 2023 - mdpi.com
Effective ground delay programs (GDP) are needed to intervene when there are bad
weather or airport capacity issues. This paper proposes a new methodology for predicting …
weather or airport capacity issues. This paper proposes a new methodology for predicting …
Combustion process modeling based on deep sparse least squares support vector regression
W Zheng, C Wang, D Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
In the face of massive historical data of coal-fired power plants, the method of Deep Sparse
Least Squares Support Vector Regression (DS-LSSVR) is proposed for building the …
Least Squares Support Vector Regression (DS-LSSVR) is proposed for building the …
Fusion model of weight on bit in horizontal exploration hole based on wavelet transform and machine learning
X Gao, D Zhao, Y Zhao, J Wu - Geoenergy Science and Engineering, 2024 - Elsevier
During the horizontal drilling of the development of energy and the geological exploration,
the loss of axial feed pressure is serious due to the frictional resistance in horizontal hole. As …
the loss of axial feed pressure is serious due to the frictional resistance in horizontal hole. As …