Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
IEEE

An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities

Abstract: Time-series forecasting plays a pivotal role in decision-making. Recently, as deep learning models have shown exceptional performance in time-series forecasting, research in the field of ...
Power Technology

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

North Pacific winter storm tracks shifting poleward much faster than predicted

Alaska's glaciers are melting at an accelerating pace, losing roughly 60 billion tons of ice each year. About 4,000 ...
Tech Xplore

Predicting the peak: New AI model prepares NYC's power grid for a warmer future

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
Dark Reading

How We Ditched the SaaS Status Quo for Time-Series Telemetry

Four years ago, a security incident sent our engineering team on a new course: After the scramble of gathering logs and getting more frustrated with the limited visibility that comes with ...
Time

AI Is Learning to Predict the Future—And Beating Humans at It

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...
Frontiers

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan

Background: Influenza remains a significant public health challenge worldwide, necessitating robust forecasting models to facilitate timely interventions and resource allocation. The aim of this study ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...