Journal Information
Journal of Smart Environments and Green Computing (JSEGC)
https://segcjournal.com/
Publisher:
OAE Publishing Inc.
ISSN:
2767-6595
Viewed:
237
Tracked:
1
Call For Papers
Green Computing refers to a multi-faceted and environmentally sustainable computing environment. In a broad sense, Green Computing focuses on the environmentally responsible and eco-friendly usage of computers being central to the formation of smart environments, exploration of their resources and efficient applications. As such, within this framework, one concentrates on the studies of designing, manufacturing/engineering, using and disposing of computing devices to reduce their environmental impact thus making them environmentally sustainable. Green computing is important for all classes of systems, ranging from handheld devices to large-scale data centers. Green initiatives including renewable energy, smart grids, energy efficiency are essential to the holistic, well thought out buildup of the smart environments. They are of fundamental relevance given the omnipresence of computers when offering solutions to a plethora of problems encountered in smart cities, Internet of Things (IoT), sensor networks, diverse communication channels, user-centricity and centrality of systems, AI-oriented tasks, high complex systems, supporting strategic decisions, high scale logistic problems, rapid crises response strategies, decision-making processes and risk assessment in complex and varying and unpredictable environments.

There has been a great deal of interest in the research discipline of Green Computing as well as its practical implications and a number of journals have expressed vital interest there, however from different albeit somewhat limited viewpoints thus lacking a badly needed broader perspective.

So far there has not been a unified platform that could fill this acute gap by bringing a publishing venue with an ultimate focus on green computing studied in a holistic and unified manner. The ultimate objective of this journal is to bring to the research community and practitioners a stable and recognized platform to disseminate crucial, timely, and far-reaching research results as well as establish a broad forum for fostering vital discussions and accelerate further progress. The main areas of interest include the following:

Power Supply
Power Management
Algorithmic Developments and Deployment Strategies for Green Computing
Energy Management in Data Centres
Green Cloud Computing in Energy Efficiency
Green Wireless Networks
Green Cloud Computing
Green Parallel Computing with Big Data and Data Analytics
Smart Cities
Smart Grid, Smart Agriculture, Smart Ocean
E-learning, Smart education, E-health
Ambient Intelligence
Product Recycling and Recycling Strategies
Advantages and Challenges of Green Computing
Green Computing and Smart Cities
Ambient Intelligence-Based Green Computing
Applications to Manufacturing, Health, Energy Sector, and Education
Green Virtual Technologies
Green Monitoring Systems
Green Energy
Societal Issues 
Last updated by regina liu in 2022-08-05
Special Issues
Special Issue on Smart Energy Management for Hybrid Vehicles Systems
Submission Date: 2022-08-25

Energy management is becoming a rising component of industry strategy; especially vehicle companies are looking closely at their energy profiles to distinguish chances for economical cost reduction, decarbonization, elasticity, and resilience. They adopt energy management techniques and weigh onsite resources, such as renewable energy and energy storage. Meanwhile, personal internal combustion engine cars are among the key contributors to global warming and suffer from limited fuel resources. As the vehicle is of high importance for modern life, efforts are being made to make vehicles more sustainable. Until now, numerous power systems for hybrid vehicles have been under consideration. It is likely that several solutions, including batteries, supercapacitors, and fuel cell-based solutions. In this SI, we are receiving contributions related to Smart Energy Management for Hybrid Vehicles Systems. Important keywords include smart energy, electric vehicle, hybrid electric vehicle, energy management, energy storage (batteries, super capacitors, fuel cells, and internal combustion engine), recharge, autonomous driving, driving cycles, and energy need prediction.
Last updated by Dou Sun in 2022-08-04
Special Issue on Energy-efficient Resource Management for 6G Communication Networks
Submission Date: 2022-09-15

The unprecedented expansion of wireless networks, such as the rapid growth of mobile devices and data traffic, the massive emergence of wireless application scenarios, has resulted in a tremendous increase in energy consumption, which significantly impacts the network performance and causes severe environmental challenges. Thus, energy-efficient communication plays an essential role in the future 6G wireless networks, both environmentally and economically. To achieve energy-efficient 6G wireless networks, one way is to reduce the energy consumptions involved in wireless communications and network protocols, while another way is to exploit energy harvesting technology to enable green and self-powered wireless communications. This special issue will focus on the emerging and innovative technologies, from the perspectives of network architecture, advanced communication techniques, algorithm and protocol design, and application development, to achieve energy-efficient wireless networks. We solicit original, high-quality, and unpublished research papers on topics including, but not limited to: Novel energy-efficient network architectures/protocols/transmission techniques for B5G/6G Joint beamforming and resource allocation for MIMO networks Energy-efficient resource allocation for NOMA based wireless networks Energy-efficient resource management for mobile edge computing networks Energy-efficient resource scheduling algorithms for wireless networks with energy harvesting Joint coordination and resource allocation for wireless information and power transfer Energy-efficient resource allocation for intelligent reflecting surface (IRS) aided wireless networks Energy-aware resource management for backbone networks, smart grid, and opportunistic spectrum sharing networks Energy-efficient resource management for wireless sensor networks Artificial intelligence/machine learning-based algorithm design for energy-efficient radio resource management Energy-aware optimal control for unmanned aerial vehicle (UAV)-based communication networks
Last updated by Dou Sun in 2022-08-04
Special Issue on Energy-Efficient Management for IoT Based Mobile Computing
Submission Date: 2022-09-30

The future wireless communications, involving the Internet of Things (IoT) mobile devices and associated sensors/actuators, are remodeling to networks where the radio environment converts as manageable, programmable, and intelligent. These networks become reconfigurable and hold knowledge, training, rationalizing, and decision-making capacities; various network sections might be developed and managed through artificial intelligence or software-defined network criteria. Reconfigurable wireless networks intend to facilitate “intelligence” within the present system to recognize and evaluate the available resources, adapt to the dynamic wireless conditions, and reconfigure the running method to maximize the performance. Energy Efficiency is a crucial problem in these environments. Consequently, the necessity to enhance energy efficiency becomes self-evident as the number of power-consuming functionalities demanded from these devices increases. The current wireless communication architectures and technologies may not address most of these concerns. Hence, new procedures are expected, aiming at which spectrum and energy resources can be efficiently managed and effectively handled. This Special Issue solicits the submission of high-quality and unpublished papers that strive to resolve open technical issues typical of energy-efficient management of mobile computing in IoT environments. The primary purpose is to combine innovative methods efficiently, concentrating on the performance evaluation and comparing existing solutions. Both theoretical and experimental studies are encouraged. Furthermore, high-quality reviews and survey papers are also welcomed. Topics of interest include, but are not limited to: ● energy-efficient techniques for reconfigurable wireless communication and networks; ● energy-aware resource management; ● energy-efficient hardware architectures for mobile devices; ● energy-efficient mobile computing for artificial intelligence applications; ● machine-learning algorithms for spectrum and energy-efficient transmissions in reconfigurable wireless situations; ● energy-friendly software and applications maintaining sustainability and the adoption of renewable energy sources.
Last updated by Dou Sun in 2022-08-04
Special Issue on Multi-Attribute Decision-Making Models and Applications in Green Manufacturing
Submission Date: 2022-09-30

Green manufacturing is the process of establishing eco-friendly production practices and taking advantage of renewable resources in the production of goods and materials. These eco-friendly practices could be used for manufacturing green products or greening the manufacturing process, and reducing pollution and waste. Establishing green manufacturing systems requires complex models with multiple and often conflicting sustainability attributes. Multi-attribute decision-making models can be used to quantify trade-offs between economic, social, and environmental dimensions and select the most suitable green manufacturing options. This special issue provides state-of-the-art information for academic researchers, policy-makers, and practitioners concerned with developing new methodologies, tools, and technologies to formulate and solve multi-attribute problems in green manufacturing. We invite researchers and practitioners to submit high-quality research papers on multi-attribute operational and strategic approaches to support green manufacturing, distribution, and inventory decisions. Topics of interest include but are not limited to: Advanced Green Manufacturing Technology Analytic Hierarchy Process (AHP) Analytic Network Process (ANP) Attribute Weight Best-Worst Method (BWM) Closed-Loop Supply Chain Management Decision Analysis Decision Analytics Decision Theory ELimination Et Choice Translating Reality (ELECTRE) Environmental Impact Assessment Green Initiatives Green Manufacturing Green Practices Green Supply Chain Multi-Attribute Decision-Making (MADM) Multi-Attribute Utility Theory (MAUT) Multi-Attribute Value Theory (MAVT) Multi-Scale Decision Analysis Preference Ranking Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) Simple Multi-Attribute Rating Technique (SMART) Simple Multi-Attribute Rating Technique with Swing weight Sustainability Measurement Sustainable Design Sustainable Distribution Sustainable Manufacturing Sustainable Performance Sustainable Production Techniques for Order Preference by Similarity to Identical Solution (TOPSIS) Total Quality Management VIseKriterijumska Optimizacija I Kompromisno Resenjea (VIKOR)
Last updated by Dou Sun in 2022-08-04
Special Issue on Advance in Green Distributed Energy Management
Submission Date: 2022-10-30

Energy is of most importance for today’s societies, being crucial for economic development and for human comfort and quality of life. The increase of energy efficiency and adequate energy management have been addressed for many years, aiming at reducing energy costs. With current increased awareness of the impact of the energy sector on climate change, new energy management approaches are needed to tackle the sustainability challenges. As distributed energy resources are gaining increasing importance, distributed energy management is being implemented, with different sensors, smart devices, and computational processing being required at the local level. Therefore, the additional energy required for this purpose should be evaluated, and adequate approaches should be put in place to ensure that energy management is made according to the aimed sustainability and green energy goals. This special issue welcomes papers describing new methods and models used to address the gap in the described field, as well as their application to real and realistic use cases. Topics of interest include but are not limited to: ● Contextual energy management ● Distributed computing ● Distributed energy resources ● Energy management systems ● Explainable artificial intelligence ● Flexible operation of algorithms computation ● Green computing ● IoT Data analytics ● Local electricity markets ● Predictive and advanced machine learning models ● Real-life case studies ● Renewable energy sources ● Smart energy grid
Last updated by Dou Sun in 2022-08-04
Special Issue on Optimal Operation and Energy Management of Microgrids
Submission Date: 2022-11-20

To offset the effects of global warming due to greenhouse gas emissions, the generation of electricity using renewable sources is gaining momentum. Distributed generation is an effective means of harnessing these green energy sources. The microgrid concept, a networked energy supply and management technology, facilitates the access to distributed energy systems, and achieves demand-side management and efficient utilization of conventional and green energy. Microgrids offer an organic combination of distributed generation, energy storage, energy conversion devices, associated loads, monitoring, and protection in grid-connected and isolated modes of operation. Thus, as an approach and strategy that focuses on energy efficiency management and enhances energy saving, Microgrids offer an important pivotal position by providing engineering solutions for sustainable power systems. This special issue is planned to cover the application and analysis of energy management systems of AC, DC, and hybrid AC/DC Microgrid under different situations for both islanded and grid-connected modes, and Microgrid operation optimization strategy to enhance reliability while maintaining power quality performance indicators. It will include: Review papers, Original Articles, Communication, Perspectives, etc. Topics of interest include, but are not limited to: ● Microgrids; ● Optimal operation; ● Optimal energy management, analysis; ● Green energy, distributed generation; ● Future power systems.
Last updated by Dou Sun in 2022-08-04
Special Issue on Optimal Operation and Energy Management of Microgrids
Submission Date: 2022-11-20

To offset the effects of global warming due to greenhouse gas emissions, the generation of electricity using renewable sources is gaining momentum. Distributed generation is an effective means of harnessing these green energy sources. The microgrid concept, a networked energy supply and management technology, facilitates the access to distributed energy systems, and achieves demand-side management and efficient utilization of conventional and green energy. Microgrids offer an organic combination of distributed generation, energy storage, energy conversion devices, associated loads, monitoring, and protection in grid-connected and isolated modes of operation. Thus, as an approach and strategy that focuses on energy efficiency management and enhances energy saving, Microgrids offer an important pivotal position by providing engineering solutions for sustainable power systems. This special issue is planned to cover the application and analysis of energy management systems of AC, DC, and hybrid AC/DC Microgrid under different situations for both islanded and grid-connected modes, and Microgrid operation optimization strategy to enhance reliability while maintaining power quality performance indicators. It will include: Review papers, Original Articles, Communication, Perspectives, etc. Topics of interest include, but are not limited to: ● Microgrids; ● Optimal operation; ● Optimal energy management, analysis; ● Green energy, distributed generation; ● Future power systems.
Last updated by regina liu in 2022-08-05
Special Issue on Current Developments, Trends and Future Directions of Smart Power Systems
Submission Date: 2022-11-30

The energy sector is the largest contributor to greenhouse gas emissions. To decarbonize the economy and meet emission reduction targets, power grids around the globe are in transition from an old paradigm to a new one with an increased share of generation from renewable sources. Generation from renewable (e.g., solar and wind) often involves large uncertainty due to environmental factors. If not properly managed, an increased share of renewables may put the reliability and security of power systems at risk. Increased uptake of new technologies, such as electric vehicles, residential rooftop photovoltaics and batteries, will introduce further complexity to the operation and planning of distribution grids. Advanced control and planning tools are required to keep the reliability, security and affordability of future smart grids under control. This special issue aims at collecting the latest developments in the field. Topics of interest include but are not limited to ● Applications of machine learning and data analytics techniques in smart grid analysis and control ● Voltage and frequency regulations of renewable-rich smart grids ● Data analytics and its applications in Advanced Metering Infrastructure (AMI), e.g., identification of households with electric vehicles, charge profiling, customer analytics, anomaly detection and asset maintenance planning ● Optimal operation of future smart grids ● Data-driven control, automation and protection of smart grids ● Increasing hosting capacity of Distributed Energy Resources (DERs), including renewables, battery storage systems and electric vehicles ● Optimization of tariffs in future smart grids ● Community batteries and their role in future distribution grids ● Virtual power plants ● Demand management in residential, commercial and industrial sectors ● Smart grid cyber security ● Smart grids and electrification of transportation systems ● Smart grids and home automation ● Resilience and reliability of future power grids
Last updated by Dou Sun in 2022-08-04
Special Issue on Computer Intelligence for Sustainability
Submission Date: 2022-12-01

In recent years, the growing concerns for environmental and climate changes, together with issues of poverty, waste, uses of energy, water, resources, and human capital, have placed sustainable development under the spotlight. The overarching goal of sustainable research is understanding how to ensure the well-being of current and future generations within the limits of the natural world from the perspectives of social and economic governance, environmental management, public value cultivation, and sustainability-oriented innovations in various industrial sectors. The emergence of computational intelligence (CI) has helped transform business practices and industries, and address various major societal problems, including sustainability. Computational intelligence for sustainability is the computer scientific branch of the interdisciplinary field of sustainability research, an applied science about the research in sustainable solutions and their implementation. In this context, we will organize a special issue in Computer Intelligence for Sustainability in order to offer a systematic overview of this emerging research field and provide innovative interdisciplinary approaches. It will provide a leading forum for disseminating the latest results of studies, development, and applications of sustainability research with strong involvement of computer intelligence. Topics of interest include, but are not limited to: ● Intelligent sustainable product design ● Intelligent sustainable production system modeling, simulation, and optimization; ● Sustainability-oriented decision support systems; ● Sustainability-oriented supply chain optimization; ● Environmental and sustainability assessment; ● Circular economy – computational models; ● Sustainable consumption – computational models; ● Interactions between health and environment and others, all related to the application of computer intelligence to sustainability research.
Last updated by Dou Sun in 2022-08-04
Special Issue on Challenges for Future-Generation Virtual Power Plant Architecture, Control and Implementation
Submission Date: 2022-12-20

Virtual power plants (VPPs) are promising solutions to address the energy efficiency and decarbonization goals in smart energy systems. A VPP is a system that integrates heterogeneous sources such as distributed generation systems with intermittent renewable energies to give a reliable and friendly overall power supply. The typical characteristics and superiorities of VPP are environmental protection, renewability, high efficiency, synergy, interactivity, and effective contribution to supply-load balancing. VPPs can be utilized to tackle problems brought by the stochastic nature of renewable resources, insufficient local energy flexibility on the demand side, and lack of energy storage devices. On the other hand, the creation and operation of VPPs involve the application of complex ICT techniques dealing with the modeling of the energy assets, energy flows, and forecasting of local energy demand and generation to meet the defined goals using heuristics, and portfolio management. All of these issues put several unsolved problems in front of architecture, control, and implementation of VPPs in the future. This special issue welcomes manuscripts that deal with all aspects of technology, optimization, control, management, implementation, and ICT problems of VPPs. The subjects of interest include, but are not limited to: ● VPPs’ management and integration strategies; ● VPP communication protocol, ICT, and network security; ● Optimization methods and control designs for VPP management; ● Machine learning approaches for VPP; ● Trading and market mechanisms for VPPs; ● Data management and software development for VPPs; ● Advanced power system dynamics analysis for VPPs; ● Advanced gid-forming technologies for VPPs.
Last updated by Dou Sun in 2022-08-04
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