IEEE

Enhancing Solar Energy Production Prediction Using Weighted k-Nearest Neighbors and Correlation-Based Distance Metrics

Abstract: This paper introduces an enhanced methodology for predicting solar Photovoltaic (PV) energy production by extending the traditional k-Nearest Neighbor (kNN) model. The proposed approach ...
IEEE

A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data

Abstract: The “curse of dimensionality” and the high computational cost have still limited the application of the evolutionary algorithm in high-dimensional feature selection (FS) problems. This ...
GitHub

wrfda.rst

Data assimilation is a technique by which observations are combined with an NWP product (the first guess or background forecast) and their respective error statistics ...
Hosted on MSN

Python tutorial: Predicting maximum projectile distance when air resistance matters

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...
GitHub

DevExtreme DataGrid - Getting Started

This repository stores the code examples of the DataGrid component for the Getting Started with DataGrid tutorial. This tutorial shows how to add the DataGrid to a page, bind it to data, and configure ...