Author

Y.-D. Bao

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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

A Full-Lifecycle Governance Framework for Dual-Carbon Data: Coupling Green Energy-Efficiency Optimization with Data-Quality Enhancement

The carbon peaking and carbon neutrality transition has turned carbon-related data into a strategic production factor. Nevertheless, the data as the basis for dual-carbon decision-making is fragmented, inconsistent and difficult to trace across the organizations producing it. This paper proposes a full-lifecycle govern...

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