This paper proposes and evaluates an edge computing based framework that aims to efficiently manage and optimize energy cloud systems while increasing their …
The intermittent and uncertainty of new energy in the grid connection process affects the overall quality of the grid. To resolve the scattered geographical locations, small individual capacities and poor controllability of distributed energy storage (DES) devices, edge computing is applied in conjunction with aggregate service …
To resolve the scattered geographical locations, small individual capacities and poor controllability of distributed energy storage (DES) devices, edge computing is …
Similar to the classical edge computing framework, the edge nodes are the cornerstone of the whole CEBMS framework, and real-time battery management and data communication are realized at this level. As shown in Fig. 1, based on the real-time sampled battery external data, the equivalent circuit model and the Kalman filter algorithm …
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth …
This article comprehensively surveys edge intelligent computing techniques for model training methods, application deployment and optimization in the field of energy …
The Internet of Things (IoT) is a concept that permits the integration of all objects into an Internet environment. IoT has spawned numerous intelligent applications and services to benefit organizations, society, and consumer experiences. On the other hand, traditional computing methods are incapable of handling the demands of these services. …
By moving service provisioning from the cloud to the edge, edge computing becomes a promising solution in the era of IoT to meet the delay requirements of IoT applications, enhance the...
Specifically, we transform the backup battery group into distributed battery energy storage system (BESS) and strategically schedule the BESS to minimize the …
In this work, we perform a comprehensive survey of edge computing for IoT-enabled smart grid systems. In addition, recent smart grid frameworks based on IoT and edge computing are discussed, …
Towards zero CO2 emissions society, large shares of renewable energy sources and storage systems are integrated into microgrids as part of the electrical grids for energy exchange aiming to effectively reduce the stress from the transmission grid. However, energy management within and across microgrids is complicated due to many …
Edge Computing is a new distributed Cloud Computing paradigm in which computing and storage capabilities are pushed to the topological edge of a …
This paper analyzes the demand of power edge computing, designs the power edge computing architecture, and proposes a distributed storage method using block chain …
3 · Recent advancements in network-connected devices have led to a rapid increase in the deployment of smart devices and enhanced grid connectivity, resulting in a surge in …
3. Edge computing enables smarter grids and allows enterprises to better manage their energy consumption. Edge compute has a key role in supporting smart grid applications such as demand management and grid optimisation. In some cases, edge computing can help with managing energy across enterprises. Sensors and IoT devices connected to an …
By moving data computation and service supply from the cloud to the edge, edge computing has become a promising solution to address the limitations of cloud computing in supporting delay-sensitive and context-aware services in the Internet of Things (IoT) era. Instead of performing data storage and computing in a cluster of …
Compared to well-known cloud computing, edge computing migrates data calculations or storage to the edge of the network near the end-user. Thus, multiple compute nodes distributed across the network can offload computational pressure from a centralized data center and can significantly reduce latency in message exchanges.
The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings. August 2021. DOI: 10.1007/978-3-030-82196-8_6. In book: Intelligent Systems and Applications, Proceedings of the ...
Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing. Artificial intelligence (AI) edge devices prefer employing high-capacity nonvolatile compute-in-memory (CIM) to achieve high energy efficiency and rapid wakeup-to-response with sufficient accuracy. Most previous works are based on either …