AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
IEEE

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
The Boston Globe

Energy, water use, and pollution by data centers is expected to double in four years

WASHINGTON — The environmental footprint of data centers already rivals some of the world’s largest countries, according to a United Nations University report, which also predicts their water and ...