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Related Experiment Videos

Deep learning & PSO-based optimisation of data centre energy costs using renewable sources.

Fawad Azeem^1,2, Husnain Nazir³, Jehangir Arshad⁴

¹Department of Electrical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan. fawadazeem@cuilahore.edu.pk.

Scientific Reports

|July 4, 2026

Summary

This study proposes an energy management framework for data centers using solar and grid power. It employs reinforcement learning and optimization algorithms to ensure reliable energy supply and maximize renewable energy use, reducing grid impact.

Keywords:

Cost Optimization Data Centre Deep Learning PSO Optimisation Renewable Sources

Related Experiment Videos

Area of Science:

Computer Science
Renewable Energy Systems
Data Center Management

Background:

Data centers consume significant energy, impacting national grids.
Renewable energy sources like solar power offer a sustainable alternative but face intermittency challenges.
Ensuring Service-Level Objectives (SLOs) in data centers is crucial for operational reliability.

Purpose of the Study:

To develop an energy management framework for data centers integrating solar and grid energy.
To optimize the use of renewable energy sources while meeting data center demands and SLOs.
To mitigate the impact of data centers on national energy deficits and environmental degradation.

Main Methods:

Proposed an energy management framework assigning jobs to data center zones based on SLOs.
Utilized the Deep Q-Network (DQN) algorithm for mapping renewable energy sources to data center zones, addressing intermittency.
Applied the Particle Swarm Optimisation (PSO) algorithm to maximize renewable power utilization.

Main Results:

Developed an effective strategy using DQN to map renewable sources to data center zones, ensuring maximum uptime.
Optimized renewable energy usage with PSO to meet data center energy demands.
Demonstrated a reduction in the energy utilization impact of data centers on the national grid.

Conclusions:

The proposed framework enhances data center energy management by integrating renewable sources effectively.
The study highlights the potential for data centers to act as energy consumers from geo-distributed renewable sources, particularly in Pakistan.
Implementing this framework can lead to reduced environmental degradation and economic benefits through increased renewable energy adoption.