An Interval Analysis Scheme Based on Empirical Error and MCMC to Quantify Uncertainty of Wind Speed

An Improved Elephant Herding Optimization using Sine-Cosine Mechanism and Opposition based Learning for Global Optimization Problems

(2021) Hariharan Muthusamy et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation

(2021) Hamed Bakhtiari et al.   APPLIED ENERGY

A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction

(2021) Yagang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

A robust elastic net via bootstrap method under sampling uncertainty for significance analysis of high-dimensional design problems

(2021) Hansu Kim et al.   KNOWLEDGE-BASED SYSTEMS

A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms

(2021) Yagang Zhang et al.   APPLIED ENERGY

Event triggered control for fault tolerant control system with actuator failure and randomly occurring parameter uncertainty

(2021) Christopher Munyiwa Kaneba et al.   APPLIED MATHEMATICS AND COMPUTATION

Regional wind power probabilistic forecasting based on an improved kernel density estimation, regular vine copulas, and ensemble learning

(2021) Weichao Dong et al.   ENERGY

Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: Case study of the electrification of the road European transport sector

(2021) Daniele Lerede et al.   ENERGY

A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting

(2021) Yinan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A meta-modeling approach for hydrological forecasting under uncertainty: Application to groundwater nitrate response to climate change

(2021) S. Focaccia et al.   JOURNAL OF HYDROLOGY

Successive multivariate variational mode decomposition based on instantaneous linear mixing model

(2021) Shuaishuai Liu et al.   SIGNAL PROCESSING

Conditional random field for monitoring multimode processes with stochastic perturbations

(2020) Hanwen Zhang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Kullback–Leibler Divergence Metric Learning

(2020) Shuyi Ji et al.   IEEE Transactions on Cybernetics

Short-Term Power Load Forecasting Based on Elman Neural Network with Particle Swarm Optimization

(2019) Kun Xie et al.   NEUROCOMPUTING

Probabilistic sensitivity analysis of offshore wind turbines using a transformed Kullback-Leibler divergence

(2019) Rui Teixeira et al.   STRUCTURAL SAFETY

Probability-Interval-Based Optimal Planning of Integrated Energy System With Uncertain Wind Power

(2019) Zhe Li et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

MMSE Bounds for Additive Noise Channels Under Kullback–Leibler Divergence Constraints on the Input Distribution

(2019) Alex Dytso et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Power generation and longevity improvement of renewable energy systems via slippery surfaces – A review

(2019) Raza Gulfam et al.   RENEWABLE ENERGY

Short-term wind speed prediction model based on GA-ANN improved by VMD

(2019) Yagang Zhang et al.   RENEWABLE ENERGY

Fault Diagnosis in Industrial Processes by Maximizing Pairwise Kullback–Leibler Divergence

(2019) Qiugang Lu et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY