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- research-articleJuly 2024
Energy-aware fault-tolerant scheduling for imprecise mixed-criticality systems with semi-clairvoyance
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 151, Issue CJun 2024https://doi.org/10.1016/j.sysarc.2024.103141AbstractIntegrating tasks with different functions and criticality levels onto the same hardware platform forms mixed-criticality systems (MCSs). Semi-clairvoyant scheduling, in which the mode transition is revealed at the arrival of high-criticality ...
- research-articleMay 2024Best Paper
Quantifying Device Flexibility With Shapley Values in Demand Side Management
e-Energy '24: Proceedings of the 15th ACM International Conference on Future and Sustainable Energy SystemsJune 2024, Pages 147–157https://doi.org/10.1145/3632775.3661950The value of flexibility in demand side management (DSM) is a measure that is hard to quantify. However, having such a value is important in various areas, from determining research directions to cost allocation and writing policy. In this work, we ...
- research-articleJuly 2024
Optimal allocation of distribution generation sources with sustainable energy management in radial distribution networks using metaheuristic algorithm
Computers and Electrical Engineering (CENG), Volume 116, Issue CMay 2024https://doi.org/10.1016/j.compeleceng.2024.109142AbstractThe optimal allocation and distribution of power from various distribution sources, supported by effective energy management, pose significant research challenges in distribution networks. This article aims to minimize the daily operational cost ...
- research-articleJune 2024
EneA-FL: Energy-aware orchestration for serverless federated learning
Future Generation Computer Systems (FGCS), Volume 154, Issue CMay 2024, Pages 219–234https://doi.org/10.1016/j.future.2024.01.007AbstractFederated Learning (FL) represents the de-facto standard paradigm for enabling distributed learning over multiple clients in real-world scenarios. Despite the great strides reached in terms of accuracy and privacy awareness, the real adoption of ...
Highlights- EneA-FL targets serverless computing for FL in Fog and constrained environments.
- EneA-FL introduces a resource-conscious worker selection policy in FL.
- EneA-FL optimises resource consumption while achieving efficient model ...
- research-articleApril 2024
GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization
Telecommunications Systems (TESY), Volume 86, Issue 3Jul 2024, Pages 463–480https://doi.org/10.1007/s11235-024-01132-7AbstractRecently, wireless sensor networks have been widely used for environmental and structural safety monitoring. However, node batteries cannot be replaced or easily recharged in harsh environments. Maximizing network lifetime remains a challenging ...
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- research-articleJuly 2024
Sustainable energy management in electric vehicle secure monitoring and blockchain machine learning model
Computers and Electrical Engineering (CENG), Volume 115, Issue CApr 2024https://doi.org/10.1016/j.compeleceng.2024.109093AbstractElectric vehicles (EVs) are seen as one of the most promising methods to combat climate change, primarily because they lessen reliance on fossil fuels and the pollutants that result from fuel combustion. This study suggests a unique approach to ...
- research-articleMay 2024
A novel energy management method for multiple residential energy systems with energy exchange
AbstractEnergy saving and emission reduction are the worldwide outstanding problems in the development of economy and society, which lead to wide attention of residential energy management. This paper presents a novel energy management method for ...
- research-articleMarch 2024
Multi-objective optimization and sustainable design: a performance comparison of metaheuristic algorithms used for on-grid and off-grid hybrid energy systems
Neural Computing and Applications (NCAA), Volume 36, Issue 13May 2024, Pages 7559–7594https://doi.org/10.1007/s00521-024-09585-2AbstractAlternative energy sources are needed for a sustainable world due to rapidly increasing energy consumption, fossil fuels, and greenhouse gases worldwide. A hybrid renewable energy system (HRES) must be optimally dimensioned to be responsive to ...
- research-articleMay 2024
A variegated GWO algorithm implementation in emerging power systems optimization problems
Engineering Applications of Artificial Intelligence (EAAI), Volume 129, Issue CMar 2024https://doi.org/10.1016/j.engappai.2023.107574AbstractThis paper proposes a novel hybrid algorithm which is mathematically modelled by amalgamating the superior features of recently developed Grey Wolf Optimizer (GWO), Sine Cosine Algorithm (SCA), and Crow Search Algorithm (CSA). Researchers have ...
- review-articleFebruary 2024
Experts and intelligent systems for smart homes’ Transformation to Sustainable Smart Cities: A comprehensive review
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PFMar 2024https://doi.org/10.1016/j.eswa.2023.122380AbstractIn this constantly evolving landscape of urbanization, the relationship between technology and automation, in regards to sustainability, holds immense significance. The intricate strands of human intelligence are seamlessly interwoven with the ...
Highlights- Technical advancement needed for transformation of home automation to a next level.
- Smart cities that build from the foundation of homes automations have been discussed.
- Comparison with the existing papers to unlock new research ...
- research-articleApril 2024
Improved energy management of chiller system with AI-based regression
Applied Soft Computing (APSC), Volume 150, Issue CJan 2024https://doi.org/10.1016/j.asoc.2023.111091AbstractThis research aims to enhance energy management in commercial building air-conditioning systems, specifically focusing on chillers, which are significant energy consumers. This study evaluates various regularized regression models using ...
Highlights- Use Ridge, Lasso, and Elastic Net regression to model system energy performance.
- Tune hyperparameters to ensure model accuracy and optimal feature selection.
- Ridge regression (18 predictors and 4 timesteps ahead) achieves R2 of ...
- research-articleJanuary 2024
An offloading method in new energy recharging based on GT-DQN
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 46, Issue 12024, Pages 479–492https://doi.org/10.3233/JIFS-233990The utilization of green edge has emerged as a promising paradigm for the development of new energy vehicle (NEV). Nevertheless, the recharging of these vehicles poses a significant challenge in due to limited power resources and enormous transmission ...
- research-articleMarch 2024
Social-aware energy management in D2D communications
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 237, Issue CDec 2023https://doi.org/10.1016/j.comnet.2023.110061AbstractThe rapid evolution of cellular networks (4G and 5G), has led to an unprecedented increase in network traffic, driven by both the growing number of mobile users and the escalating data consumption per user. This surge significantly impacts energy ...
- research-articleFebruary 2024
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models
CIIS '23: Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent SystemsNovember 2023, Pages 52–58https://doi.org/10.1145/3638209.3638218Energy is one of the most important topics in the modern world, as it affects various aspects of human life and the environment. The current transition era and the growing demand for energy require innovative solutions to optimize energy use and reduce ...
- research-articleNovember 2023
Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method
Knowledge-Based Systems (KNBS), Volume 280, Issue CNov 2023https://doi.org/10.1016/j.knosys.2023.111027AbstractMicrogrids have become popular candidates for integrating diverse energy sources into the power grid as means of reducing fossil fuel usage. Energy Resource Management (ERM) is a type of Unit Commitment problem, where a player operates a ...
Highlights- An energy resource management problem modeling is proposed for microgrid systems.
- A novel neuroevolutionary multi-objective reinforcement learning algorithm is proposed.
- A novel benchmark environment for multi-objective ...
- research-articleJanuary 2024
A Novel Optimized Resource Allocation Algorithm using GWO Optimization Technique for WBAN
ICSIE '23: Proceedings of the 2023 12th International Conference on Software and Information EngineeringNovember 2023, Pages 85–92https://doi.org/10.1145/3634848.3634856Wireless Body Area Networks have severe challenges in energy management to enhance the longevity of the system. Specifically, for a WBAN system that operates by ambient energy sources. The system combines energy scavenging modules integrated into the ...
- research-articleNovember 2023
Summer Electricity Consumption Patterns in Households Using Appliance Load Profiles
BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationNovember 2023, Pages 485–490https://doi.org/10.1145/3600100.3627027This study aims to understand residential electricity consumption patterns using appliance load profiles of significant appliances in five residential units. To create load profiles, empirical electricity data from households and appliances was collected ...
- research-articleNovember 2023
Plus-profile energy harvested prediction and adaptive energy management for solar-powered wireless sensor networks
The Journal of Supercomputing (JSCO), Volume 80, Issue 6Apr 2024, Pages 7585–7603https://doi.org/10.1007/s11227-023-05755-6AbstractWireless sensor networks (WSNs) are mostly used for monitoring the environment; however, they are usually powered by non-rechargeable batteries with limited energy. Solar energy harvesting is an attractive solution to the limit by charging the ...
- research-articleFebruary 2024
Safe resource management of non-cooperative microgrids based on deep reinforcement learning
Engineering Applications of Artificial Intelligence (EAAI), Volume 126, Issue PBNov 2023https://doi.org/10.1016/j.engappai.2023.106865AbstractThis paper solves a bi-level optimization problem in which at the first level, the distribution system operator (DSO) as a retailer tends to extract selling energy price signals so that increases its profit and reduces the peak-to-average ratio (...
Highlights- Presenting a non-cooperative framework using deep reinforcement learning.
- Considering cost minimization, profit maximization and PAR reduction simultaneously.
- The proposed transactive energy model ensures the privacy of MGs.
- ...
- research-articleOctober 2023
Energy management of fault-tolerant real-time embedded systems through switching-activity-based techniques
Microprocessors & Microsystems (MSYS), Volume 102, Issue COct 2023https://doi.org/10.1016/j.micpro.2023.104929AbstractEnergy management and fault tolerance are essential aspects in designing most real-time embedded systems, and dynamic voltage and frequency scaling (DVFS) is a fundamental approach in energy management. Using DVFS can lead to a considerable ...