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Spatiotemporal Renewable Energy Techniques and Applications
This chapter provides an overview of the field of spatiotemporal data analysis in the context of renewable energy applications. With the increasing...
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Applications of Machine Learning: Energy Systems
This chapter focuses on machine learning applications in electrical energy systems. The first application is load forecasting, followed by...
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Estimating the energy consumption of model-view-controller applications
For information and communication technology to reach its goal of zero emissions in 2050, power consumption must be reduced, including the energy...
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Energy inefficiency diagnosis for Android applications: a literature review
Android applications are becoming increasingly powerful in recent years. While their functionality is still of paramount importance to users, the...
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A comparative study of energy efficient algorithms for IoT applications based on WSNs
IoT presents a new technology that aims to interconnect numerous smart devices to provide operators with many smart services. Generally, wireless...
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EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications
In the fog computing-based Internet of Things (IoT) architecture, the sensor devices represent the basic elements needed to sense the surrounding...
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Defect graph neural networks for materials discovery in high-temperature clean-energy applications
We present a graph neural network approach that fully automates the prediction of defect formation enthalpies for any crystallographic site from the...
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Approximate bilateral filters for real-time and low-energy imaging applications on FPGAs
Bilateral filtering is an image processing technique commonly adopted as intermediate step of several computer vision tasks. Opposite to the...
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Energy data classification at the edge: a comparative study for energy efficiency applications
As the global economy is increasingly influenced by energy policy and efficiency, the opportunities of energy data classification are broadening....
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Secure and energy-efficient data transmission framework for IoT-based healthcare applications using EMCQLR and EKECC
Healthcare (HC) is among the most promising sectors for assessing Internet of things (IoT) based technological advances, as patients can use wearable...
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A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
Hadoop is a distributed framework for processing big data. One of the critical parts of Hadoop is YARN, which carries out scheduling and resource...
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Breaking the energy-efficiency barriers for smart sensing applications with “Sensing with Computing” architectures
With the develo** technologies of artificial intelligence and the Internet of Things, intelligent IoT (iIoT) is prevailing currently. Design and...
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Investigations of standalone PV system with battery-supercapacitor hybrid energy storage system for household applications
In this paper, a standalone Photovoltaic (PV) system with Hybrid Energy Storage System (HESS) which consists of two energy storage devices namely...
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Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
The prediction intervals represent the uncertainty associated with the model-predicted responses that impacts the sequential decision-making...
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perun: Benchmarking Energy Consumption of High-Performance Computing Applications
Looking closely at the Top500 list of high-performance computers (HPC) in the world, it becomes clear that computing power is not the only number...
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Soft Computing Applications in Modern Power and Energy Systems Select Proceedings of EPREC 2023, Volume 4
This book includes select proceedings of EPREC 2023. It provides rigorous discussions, case studies, and recent developments in the areas of soft...
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Intelligent scanning period dilation based Wi-Fi fingerprinting for energy efficient indoor positioning in IoT applications
Internet of Things (IoT) is steadily revolutionizing people’s lives, and accurate location sensing is crucial in achieving this. Global positioning...
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Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSim
Digital services - applications that often span the entire computing continuum - have become an essential part of our daily lives, but they can have...
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On Develo** Sustainable Deep Learning Applications Using Pre-calculating Energy Usage
Sustainable computing is essential to our modern digital society. It deals with how computing resources and devices can be developed and used to...
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Lightweight Gramian Angular Field classification for edge internet of energy applications
With adverse industrial effects on the global landscape, climate change is imploring the global economy to adopt sustainable solutions. The ongoing...
