Your local storm forecast is likely based on weather miles away – we’re trying to bring it closer to home

Don’t blame the weatherman. A meteorologist explains where your local weather forecasts really come from, and how storm ...

U.S. looks into regulating prediction market sites like Kalshi and Polymarket

Prediction markets have caught the attention of U.S. regulators as people have profited from privileged information.

Trump Says He Dislikes Prediction Markets. His Family Invests in Them.

The White House has warned staff not to wager on government decisions, but his family’s involvement with these firms ...
KPVI

Thai farmers pin hopes on microbes to end annual burning crisis

Rice farmers Siriporn and Amnat Taidee used to burn their paddy fields between plantings -- a common method of clearing crop ...
Pocket Gamer.biz

Forecasting mobile game profitability: How publishers predict UA performance

Profit forecasting is a continuous process that affects both a studio’s budget and the way user acquisition is managed.
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 ...
IEEE

Short-Term Wind Power Forecasting Based on CNN–LSTM Model With CEEMDAN–VMD Decomposition

Abstract: Accurate wind power forecasting is essential for the reliable and efficient operation of renewable energy–dominated power systems, as it directly affects power system scheduling and grid ...
Bitcoin Magazine

Bitcoin Price Forecast Tools and Cycle Valuation Metrics

This One Chart Has Never Missed a Bitcoin Price Top or Bottom in 15 Years The Bitcoin Magazine Pro Price Forecast Tools chart provides a comprehensive framework for identifying potential price floors ...
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 ...