Industry Information Real-time monitoring and optimization methods for user-side energy
This paper presents a comprehensive framework for real-time monitoring and optimization of user-side energy management systems leveraging edge computing technology.
Industry Information An Energy-Efficient Hybrid SRAM-Based In-Memory Computing
The von Neumann computing architecture faces considerable challenges (e.g., high throughput and improving energy efficiency) in developing artificial intelligence (AI) edge devices. In
Industry Information Rethinking Low-Carbon Edge Computing System Design with
The geographically distributed edge servers can naturally draw power from nearby renewable energy (RE) generators. Complemented by the dynamic scheduling of energy storage
Industry Information Optimizing Energy Efficient Cloud Architectures for Edge Computing:
Moreover, lowering cloud-edge systems'' energy footprints is essential for fostering sustainability in light of growing concerns about environmental effects. This research presents a comprehensive review of
Industry Information Energy-efficient computation offloading via deep reinforcement
Propose a novel decision making algorithm combining queueing theory and deep reinforcement learning. Multi-access Edge Computing (MEC) has been a promising solution that
Industry Information Hybrid Edge-Cloud Approach for Renewable Energy Management
A machine-learning-based smart grid using computing systems is designed to control renewable energy power generation, power prediction, fault detection, and utilisation at the consumer side of existing
Industry Information A Microservices-Oriented Architecture for Hybrid Renewable Energy
Our findings reveal that while HRES and cloud-edge technologies are studied individually, their combined application within a microservices-driven EMS framework is largely unexplored.
Industry Information Microsoft Word
The Edge computing paradigm originates as a solution to increasing data rates due to data-demanding applications. A growing amount of data is being generated from Internet of Things (IoT) applications,
Industry Information A cloud energy management strategy for intelligent connected HEVs
First, an end-edge-cloud three-layer architecture for ICHEVs energy management system is presented, and a cloud energy management strategy (CEMS) based on the cooperation of
Industry Information Hybrid Cloud Energy Management for Edge Computing
Recently, many service providers or telecom operators are offering hybrid cloud services with edge computing to consumers, such as gaming, streaming, and manufacturing. However, the energy
Industry Information (PDF) The Emergence of Hybrid Edge-Cloud Computing
Accordingly, in this paper, we present a novel energy efficiency system based on a hybrid edge-cloud computing architecture.
Industry Information Green hybrid energy harvesting for intelligent mobile edge computing
Mobile device (MD) is usually energy constrained and the computation task will be interrupted when the battery power is run out. Intelligent mobile edge computing (MEC), as a
Industry Information TechTarget
TechTarget provides purchase intent insight-powered solutions to identify, influence, and engage active buyers in the tech market.
Industry Information Edge computing and hybrid control technology for microgrids based
First, a microgrid control structure with edge-computing services based on hybrid control theory is proposed, which can exploit the hybrid characteristics of the microgrid control and reduce
Industry Information Efficient Task Offloading Strategy for Energy-Constrained Edge
Edge Computing (EC) has emerged as a pivotal paradigm, offering solutions to address the challenges posed by latency-sensitive applications and to enhance overall network performance. In EC
Industry Information Comprehensive Review of Edge Computing for Power Systems: State
This paper presents a systematic review of edge computing in energy distribution systems, examining its architectures, methodologies, and real-world applications.
Industry Information Edge-Cloud Architectures for Hybrid Energy Management Systems: A
This article provides an overview of recent research on edge-cloud architectures in hybrid energy management systems (HEMSs). It delves into the typical structure of an IoT system, consisting of
Industry Information Hybrid edge–cloud energy management system for an industrial-scale
Abstract Green hydrogen is a potential contributor to a more sustainable transportation system. In this paper, we present our experiences and insights gained from an industrial-scale green
Industry Information Energy efficient task scheduling for heterogeneous multicore
Abstract Edge computing faces challenges in energy-efficient task scheduling for heterogeneous multicore processors (HMPs).
Industry Information Energy-Efficient Computation Offloading for Static and Dynamic
To tackle the challenge, this work provides an intelligent computation offloading method for both static and dynamic applications among entities in such a hybrid system. The minimization
Industry Information Modeling the Green Cloud Continuum: integrating energy
It integrates a microgrid (e.g. a solar-wind hybrid energy system) and edge devices to ensure full utilization of renewable energy while maintaining QoS levels for time-sensitive IoT
Industry Information Enhancing Sustainable Edge Computing Offloading via
The unpredictability of RE quality makes it difficult for edge servers to maintain high quality of service in EH-EC systems, which impedes effective
Industry Information Edge computing and hybrid control technology for
Event-triggered technology can significantly reduce the time delay, energy consumption, and amount of communication overhead, and is more
Industry Information Energy-efficient offloading based on hybrid bio-inspired algorithm for
In order to improve the convergence accuracy and system energy efficiency, we proposed a hybrid bio-inspired algorithm, the HS-HHO algorithm, which combines the Slime Mode Algorithm