What question did this study set out to answer?

The aim is to enhance planning processes in hyperscale data centers through advanced forecasting and management techniques.

April 8, 2026Open Access

Integrating Probabilistic Forecasting and Capacity-Bound Overrides in Hyperscale Data Center Planning

Key Points

The aim is to enhance planning processes in hyperscale data centers through advanced forecasting and management techniques.
Developed a probabilistic forecasting model for data center resource demands.
Implemented capacity-bound overrides during peak times to optimize resource allocation.
Conducted simulations to assess the impact of integrated planning strategies.
Improved accuracy in resource demand predictions by 25%.
Reduced operational costs by 15% during peak loads.
Enhanced overall capacity utilization rates in hyperscale data centers.

Abstract

UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list, UGC Approved list, list of ugc approved journal, ugc approved journal,IJRAR - international Research Journal,IJRAR.ORG,Ijrar.org, International Journal of Research and Analytical Reviews (IJRAR) , UGC Approved journal, ugc approved,ugc, ugc certify, publish free of cost, free publication, UGC and ISSN Approved , International Peer Reviewed, Open Access Journal , e ISSN 2348 –1269, Print ISSN 2349-5138, ISSN: 2348 –1269, Impact Factor : 5.75 , E- journal, Low Cost INR 500, Free Publication

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