Abstract: Neural networks (NNs) based wind power forecasting (WPF) under extreme weather conditions faces challenges, including limited sample sizes, domain shift problem between conventional and ...

This project utilizes an Arduino Uno CH340G development board paired with a DHT11 temperature and humidity sensor to create a compact yet capable environmental monitoring system. It measures ambient ...

CryptoMarketForecast today announced the launch of its brand-new AI-powered crypto market sentiment tool, designed to help traders and investors instantly understand the state of the crypto market ...

Abstract: This study investigates the potential of quantum machine learning to enhance the accuracy of typhoon forecasting, with a particular emphasis on its implications for photovoltaic (PV) and ...