Using complex networks to tame combustion instability

Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...
Oak Ridge National Lab

Probability Density Function Control of Frequency Fluctuations in Renewable-Rich Power Systems...

The stochastic nature of renewable energy sources (RESs) necessitates treating power system frequency response as a random process with a nonstationary probability density function (PDF). Based upon ...
Scientific Research Publishing

Density Functions and Descriptive Statistics for Distance Measures in Cartesian Space ()

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...
IEEE

An Integrated Sparse Gated Graph Density Network Based on Transfer Learning for Multi-Site Probabilistic Forecasting of Renewable Energy

Abstract: Large-scale new energy grid-connected poses significant challenges to the safe and efficient operation of smart grids. Renewable energy probabilistic forecasting (REPF) technology can ...
Frontiers

DKPE-GraphSYN: a drug synergy prediction model based on joint dual kernel density estimation and positional encoding for graph representation

1 School of Software, Taiyuan University of Technology, Taiyuan, Shanxi, China 2 Information Management Department, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China Introduction: ...
inc42

What Is Probability Density Function? Here’s All You Need to Know

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
Scientific Research Publishing

Cha, S.-H. (2007) Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions. City, 1, 1.

ABSTRACT: This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems ...
Frontiers

Accuracy of wind speed forecasting based on joint probability prediction of the parameters of the Weibull probability density function

College of Engineering and Technology, University of Science and Technology of Fujairah, Fujairah, United Arab Emirates This work aims to evaluate different error ...