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The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has
The leader in intelligent power and image sensing technologies that build a better future for the automotive, industrial, cloud, medical, and IoT markets
This study proposed the solution to maintain the voltage profile within the PEA''s standard limitation by using battery energy storage system (BESS)
A three-layer cloud-fog-computing framework based on DRL is exploited for real-time EMS to manage uncertainties, real-time data processing and monitoring. The proposed platform
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The energy demands of AI workloads are pushing data centre operators to seek locations with stable, high-capacity electricity supply and low risk of disruption.
An intelligent base station is designed to use artificial intelligence (A.I.) and machine learning techniques to optimize its performance and improve overall energy efficiency. It is unclear what specific features
This paper presents the design and implementation of a cloud-based energy monitoring system specifically developed for 5G base stations, with a focus on optimizing energy consumption in
It allows users to collect real-time data on electricity demand, renewable energy generation, and more, with the aim of enabling services that help improve the
This paper presents a comprehensive framework for real-time monitoring and optimization of user-side energy management systems leveraging edge computing technology.
Recent advancements in cloud computing have begun to deliver critical insights, resulting in adaptive-based control of storage systems with improved performance. This study aims to review
In this article, we propose a vision for learning-centric approach for the integrated management of new generation Cloud
This research fills both theoretical and practical gaps in system-level optimization and benefit evaluation for cloud computing platforms in the power industry.
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Host CPU utilization prediction, underload/overload detection, virtual machine selection, migration, and placement have been performed to manage the resources and achieve efficient
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for both
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For computing companies, Thailand is no longer an untapped market, but a rapidly crowding one where grid connection windows are being tightened by massive projects.
The widespread installation of 5G base stations has caused a notable surge in energy consumption, and a situation that conflicts with the aim
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Abstract In this paper, we suggest that the combination of edge computing in the form of data compression with communication at the base stations (BSs) for transmissions to their associated
To address the challenges associated with the digital transformation of the power industry, this research develops an optimization and benefit evaluation model for cloud computing platforms...
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The experimental results show that the proposed system performs outstandingly in optimizing energy allocation, reducing energy consumption, and improving system response speed.
Quality of Service (QoS) improvements can be attained through effective resource management facilitated by Artificial Intelligence (AI) and
To address this, the Electricity Generating Authority of Thailand (EGAT) has developed Energy Storage System (ESS) to provide backup when the sun is not shining or the wind is not blowing. This article
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