Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
Bulletin of the Atomic ScientistsOpinion

Why data center growth forecasts are essential to mitigating their impact on the grid

To plan for the impacts of data centers on the grid, experts can take upfront deposits and analyze a scope of possible ...
IEEE

Socially Aware Load Forecasting Utilizing Large Language Models

Abstract: Accurate residential load forecasting is crucial for power system management, and incorporating socio-demographic information can significantly enhance prediction accuracy. However, ...
IEEE

A Novel Optimal Power Flow Method Considering Interval Uncertainties Under High Renewable Penetration Based on Security Limits Definition

This paper proposes an optimal power flow method considering interval uncertainties (OPFIU) to enhance the security and economy of power systems with high renewable energy penetration. The OPFIU ...