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IEEE12h
Two-Stage Robust Generation Expansion Planning: A Mixed Integer Linear Programming Model - IEEE Xplore
This paper presents a new uncertainty handling framework for optimal generation expansion planning (GEP) amalgamating the notions of single-stage and two-stage robust optimization (RO). The proposed ...
Scientific Research Publishing1d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
eLife1d
Reorganization of spinal neural connectivity following recovery after thoracic spinal cord injury: insights from computational modelling
Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...
Visual Studio Magazine1d
Linear Regression Using JavaScript
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...
IEEE2d
Weather Prediction using linear regression model - IEEE Xplore
Weather prediction has been a delicate task in the meteorological department since times due to varied reason similar as the drastically unpredicted behaviour of climate. These predictions are ...
IEEE4d
Research on the Impact of Digital Transformation on Pharmaceutical Manufacturing Innovation Capability: Based on Multiple Linear Regression Model - IEEE Xplore
This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...
IEEE4d
An approach for solving linear programming problem with intuitionistic fuzzy objective coefficient - IEEE Xplore
The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...
IEEE4d
Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming - IEEE Xplore
This paper presents a novel approach to generate data-driven regression models that not only give reliable prediction of the observed data but also have smoother response surfaces and extra ...
IEEE5d
Time-Varying Model Predictive Control of a Reversible-SOC Energy-Storage Plant Based on the Linear Parameter-Varying Method - IEEE Xplore
Hydrogen conversion plants based on reversible solid oxide cells (rSOCs) provide a potential solution for large-scale energy storage to facilitate renewable integration. When operating an rSOC plant, ...
IEEE5d
Linear Circuit Model of the Three-phase Insulated Core Transformer Power Supply - IEEE Xplore
Analysis of the terminal characteristics of the three-phase multi-winding insulated core transformer (ICT) requires a precise physical model. A linear equivalent electrical circuit model is proposed ...
IEEE5d
A Model-Free Control Strategy for Vehicle Lateral Stability With Adaptive Dynamic Programming - IEEE Xplore
This article presents a nonmodel-based controller design for vehicle dynamic systems to improve lateral stability, where output tracking control and adaptive dynamic programming approaches are ...
IEEE5d
Non-Linear Material Model of Ferrite to Calculate Core Losses With Full Frequency and Excitation Scaling - IEEE Xplore
A material model for ferrite is presented, enabling an accurate calculation of the core losses from 100 to 1000 kHz with a single set of scalar parameters over a decade of excitation current. It is ...