Thiruvananthapuram: Nearly 15,000 students across Kerala are gaining hands-on exposure to modern weather science and ...

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

Predicting cryptocurrency prices is challenging because markets are volatile and events like regulatory changes or ETF ...

PS Seasoning has released its annual forecast of 2026 flavor trends as consumers head into the new year with tighter budgets.

A roundtable of leading central bank watchers revealed scepticism about aspects of its new communications techniques ...

Discover how human resource planning might be used to estimate the correct demand for labor in a given market, both qualitatively and quantitatively.

Learn what absolute value means in finance, explore calculation methods like DCF analysis, and see examples to identify stock ...

Abstract: The transition of the automotive sector to electric vehicles (EVs) necessitates research on charging demand forecasting for optimal station placement and capacity planning. In the literature ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

Understanding what user-traffic data can teach you about better spending habits can mean the difference between strategic ...

A groundbreaking AI model, GenCast, is revolutionizing weather forecasting by generating rapid, probabilistic global ...

This issue of The Journal of Energy Markets goes to press at a time of unprecedented structural transformation in the global energy landscape, shaped by accelerating climate and decarbonization ...