AgriLife Today

AI-powered forecasts sharpen early warning for destructive crop pest

A Texas A&M AgriLife Research study shows artificial intelligence can predict crop pest outbreaks more accurately than ...
CoinDesk

Hyperliquid is preparing to take on Polymarket with a new way to trade real-world events

Hyperliquid is gearing up to challenge Polymarket with a zero-fee entry for event betting as the $63 billion prediction ...

Patch AM: How Salem’s senator helped reshape New Hampshire parental rights and school safety

Also, don’t miss Earth Day Electric Car Show & Trash Clean Up on the Salem Patch calendar ...
IEEE

Decomposition and Stacked Meta-Learning for Short-Term Electric Vehicle Load Forecasting

Abstract: Accurate short-term electric vehicle (EV) load forecasting is critical for grid stability and demand response management amid rapidly increasing EV penetration. However, existing statistical ...
pv magazine International

PV power generation forecast technique for solar plants with missing data

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...
NBC Connecticut

UConn researchers use AI in weather forecasting to predict power outages

A research collaboration between the University of Connecticut and Eversource aims to change the way utilities prepare for outages, using the power of artificial intelligence (AI) to improve weather ...
Frontiers

Ultra-short-term load forecasting and risk assessment method for distribution networks based on the VMD–DeepAR model

With increasing uncertainties on both the generation and load sides in power systems, ultra-short-term load forecasting (USTLF) and risk assessment have become crucial for ensuring the secure and ...