[HTML][HTML] Bagging–XGBoost algorithm based extreme weather identification and short-term load forecasting model
X Deng, A Ye, J Zhong, D Xu, W Yang, Z Song… - Energy Reports, 2022 - Elsevier
Accurate short-term load forecasting of distribution transformer in extreme weather will
effectively assist power dispatching and enable safe and stable operation of power grid …
effectively assist power dispatching and enable safe and stable operation of power grid …
Surface settlement prediction for urban tunneling using machine learning algorithms with Bayesian optimization
This paper describes the prediction of settlements induced by urban area tunneling using
five machine learning (ML) algorithms. The settlement database, which was collected from a …
five machine learning (ML) algorithms. The settlement database, which was collected from a …
[HTML][HTML] Auto machine learning-based modelling and prediction of excavation-induced tunnel displacement
The influence of a deep excavation on existing shield tunnels nearby is a vital issue in
tunnelling engineering. Whereas, there lacks robust methods to predict excavation-induced …
tunnelling engineering. Whereas, there lacks robust methods to predict excavation-induced …
Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation
Among several components of the hydrology cycle, streamflow is one of the essential
process necessarily needed to be studied. The establishment of an accurate and reliable …
process necessarily needed to be studied. The establishment of an accurate and reliable …
A space-embedding strategy for anomaly detection in multivariate time series
Anomaly detection of time series has always been a hot topic in academia and industry.
However, many existing multivariant time series methods suffer from common challenges …
However, many existing multivariant time series methods suffer from common challenges …
Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM
Automatic, accurate and online fault detection of heating ventilation air conditioning (HVAC)
subsystems, such as chillers, is highly demanded in building management system (BMS) to …
subsystems, such as chillers, is highly demanded in building management system (BMS) to …
Application of GA‐BP Neural Network Optimized by Grey Verhulst Model around Settlement Prediction of Foundation Pit
CY Liu, Y Wang, XM Hu, YL Han, XP Zhang, LZ Du - Geofluids, 2021 - Wiley Online Library
Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a
new methodology which takes advantage of the grey Verhulst model and a genetic …
new methodology which takes advantage of the grey Verhulst model and a genetic …
Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties
This paper proposes a robust ground settlement prediction framework that can cope with
class imbalance and multi-source uncertainties within the practice of deep excavation. There …
class imbalance and multi-source uncertainties within the practice of deep excavation. There …
Enhancing long-term streamflow forecasting and predicting using periodicity data component: application of artificial intelligence
Streamflow forecasting and predicting are significant concern for several applications of
water resources and management including flood management, determination of river water …
water resources and management including flood management, determination of river water …
Fast and accurate classification of time series data using extended ELM: Application in fault diagnosis of air handling units
The extreme learning machine (ELM) is famous for its single hidden-layer feed-forward
neural network which results in much faster learning speed comparing with traditional …
neural network which results in much faster learning speed comparing with traditional …