DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation

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Prediction of long-term temperature effect in structural health monitoring of concrete dams using support vector machines with Jaya optimizer and salp swarm algorithms

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Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system

(2019) Wenzhen Jia et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting

(2018) Chaoshun Li et al.   APPLIED ENERGY

An Electricity Price Forecasting Model with Fuzzy Clustering Preconditioned ANN

(2018) SATOSHI ITABA et al.   ELECTRICAL ENGINEERING IN JAPAN

Statistical modelling of thermal displacements for concrete dams: Influence of water temperature profile and dam thickness profile

(2018) M. Tatin et al.   ENGINEERING STRUCTURES

Load forecasting through functional clustering and ensemble learning

(2018) Fátima Rodrigues et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Wavelet support vector machine-based prediction model of dam deformation

(2018) Huaizhi Su et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A decomposition-clustering-ensemble learning approach for solar radiation forecasting

(2018) Shaolong Sun et al.   SOLAR ENERGY

Interval prediction of solar power using an Improved Bootstrap method

(2018) Kaiwen Li et al.   SOLAR ENERGY

Clustering of Data Streams with Dynamic Gaussian Mixture Models. An IoT Application in Industrial Processes

(2018) Javier Diaz-Rozo et al.   IEEE Internet of Things Journal

Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering

(2018) Kehua Li et al.   APPLIED ENERGY

Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China

(2018) Xin Fu et al.   ENERGY

Prediction of the intermediate block displacement of the dam crest using artificial neural network and support vector regression models

(2018) Mahmoud Mohammad Rezapour Tabari et al.   SOFT COMPUTING

A spatio-temporal clustering and diagnosis method for concrete arch dams using deformation monitoring data

(2018) Bo Chen et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Forecasting financial series using clustering methods and support vector regression

(2018) Lucas F. S. Vilela et al.   ARTIFICIAL INTELLIGENCE REVIEW

Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation

(2018) Fei Kang et al.   ENGINEERING STRUCTURES

Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy

(2017) Liu Yaohui et al.   KNOWLEDGE-BASED SYSTEMS

Fast density clustering strategies based on the k -means algorithm

(2017) Liang Bai et al.   PATTERN RECOGNITION

Dam safety prediction model considering chaotic characteristics in prototype monitoring data series

(2016) Huaizhi Su et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Variable-intercept panel model for deformation zoning of a super-high arch dam

(2016) Zhongwen Shi et al.   SpringerPlus

Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations

(2015) Fernando Salazar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

Development of support vector regression identification model for prediction of dam structural behaviour

(2014) Vesna Ranković et al.   STRUCTURAL SAFETY

Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification

(2013) Ning Wang et al.   NEUROCOMPUTING

Multi-output least-squares support vector regression machines

(2013) Shuo Xu et al.   PATTERN RECOGNITION LETTERS