Author

Y.-F. Lu

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Open access Aug 2026

LSTM-Based Time-Series Forecasting for Green Low-Carbon Data Center Energy Consumption: A Dual-Carbon Data Element Management Perspective

Data centers already draw a fast-growing slice of global electricity, and operators cannot chase carbon peaking and carbon neutrality (“dual-carbon”) targets without knowing, ahead of time, how much power a facility is about to use. This paper builds an LSTM-based forecasting framework for data center energy consumptio...

Y.-D. Bao, Y.-F. Lu, C. Liu et al. · Advanced Electromagnetics · 0 citations

Open access Aug 2026

A Genetic-Algorithm-Based Framework for Green Task Scheduling and Energy Optimization in Data Centers

Data centers already draw a fast-rising slice of global electricity, and regulators and export markets are watching their carbon footprint more closely every year. This paper presents a genetic-algorithm (GA) framework for green task scheduling that jointly minimizes energy consumption, carbon emissions, and service-le...

Y.-F. Lu, Y.-D. Bao, C. Liu et al. · Advanced Electromagnetics · 0 citations

Open access Aug 2026

Consideration of High Proportion Renewable Energy Penetration in Electricity Spot Market Price Spike Probability Forecasting and Risk Early Warning

This study addresses the critical challenge of price spike forecasting in electricity spot markets by investigating the influence of high renewable energy penetration on market volatility and the cost-sensitive production processes of energy-intensive industries. With the increasing deployment of smart grids, wide-area...

M.-Y. Chen, L. Qi, W.-B. Zheng et al. · Advanced Electromagnetics · 0 citations