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Energy-efficient resource-constrained multi-project scheduling problem with generalized precedence relations and multi-skilled resources
This paper presents a new integrated model for the multi-skilled project scheduling and multi-project scheduling problems, where the activities are...
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Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm
The concept of interconnected multi-microgrids (MMGs) is presented as a promising solution for the improvement in the operation, control, and...
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Uncertainty Level-Based Algorithms by Managing Renewable Energy for Geo-Distributed Datacenters
Datacenters are the primary driving force behind the energy shift to renewable sources. This shift limits the environmental impact of non-renewable...
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Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
Mobile edge computing (MEC) has been widely applied to numerous areas and aspects of human life and modern society. Many such applications can be...
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Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models
The energy consumption of Cloud–Edge systems is becoming a critical concern economically, environmentally, and societally; some studies suggest data...
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Credit-based energy trading system using blockchain and machine learning
In peer-to-peer (P2P) energy trading, members locally trade energy. Blockchain-based systems are employed for the above trading. These systems are...
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IR-Guided Energy Optimization Framework for Depth Enhancement in Time of Flight Imaging
This paper introduces an optimization energy framework based on infrared guidance to improve depth consistency in Time of Flight image systems. The...
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Self-organizing Energy-Minimization Placement of QoE-Constrained Services at the Edge
The wide availability of heterogeneous resources at the Edge of the network is gaining a central role in defining and develo** new computing...
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Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity
We train an equivariant machine learning (ML) model to predict energies and forces for hydrogen combustion under conditions of finite temperature and...
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A novel optimization algorithm for UC, ELD and scheduling of hybrid energy storage system
In today’s world, the use of renewable resources is increasing due to cost-effective and eco-friendly solutions. Predominantly, using renewable...
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Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
IoT edge computing facilitates data to be processed at a location closer to the place where it is generated. Placing computing closer allows for...
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Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization
Weak bus identification in power system networks is crucial for planning and operation since most generators operate close to their operating limits,...
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Optimization for energy-aware design of task scheduling in heterogeneous distributed systems: a meta-heuristic based approach
The motivation of task scheduling in heterogeneous computing systems is the optimal management of heterogeneous distributed resources as well as the...
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Energy consumption optimization through an intelligent task offloading prediction mechanism in vehicular fog networks
Intelligent applications in smart transportation necessitate substantial computational power and energy resources. Nevertheless, the constraints...
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Surrogate Constraints for Synchronized Energy Production/Consumption
We deal here with job scheduling under encapsulated renewable and non-renewable resource constraints, while relying on a case study related to energy...
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Noise attenuation and ridge processing technique for fingerprint bit minimization
This paper presents a model for the optimal reduction of the bit size of a fingerprint towards plummeting its storage requirement and raising the...
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Deep Learning RBFNN MPPT Developmemt for Hybrid Energy Microgrid
The role of a significant Maximum Power Point Technique (MPPT) in augmenting the energy extraction and conversion efficiency of a variable power...
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LTE-NBP with holistic UWB-WBAN approach for the energy efficient biomedical application
Increased use of ultra-wideband (UWB) in biomedical applications based on wireless body area networks (WBAN) opens a variety of options in the field...
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Energy-aware scheduling protocol-based hybrid metaheuristic technique to optimize the lifespan in WSNs
Topology control is a significant research problem when it comes to designing energy-efficient wireless sensor networks (WSNs). It is a metric for...
