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Battery integration with renewable energy and conventional power grid is common practice in smart grid systems and provides higher operational flexibility. Abundant issues and challenges to the Indian smart grid while integrating renewable energy and storage technology will give timely emphasis to grasp uninterrupted power supply in forthcoming trend. Hence, this paper aims to acknowledge different barriers of battery integration and evaluate them to develop approaches for restricting their influence.

A multi-model approach is used to illustrate how these challenges are interrelated by systematically handling expert views and helps to chronologically assemble various issues from the greatest severe to the slightest severe ones. Further, these barriers are grouped using the cross-impact matrix multiplication applied to the classification analysis (MICMAC) study grounded on their driving and dependence power. Also, hypothesis testing was done to validate the obtained model.

It provides a complete thoughtful on directional interrelationships between the barriers and delivers the best possible solution for the active operation of the smart grid and its performance.

There is a significant requirement for high-tech inventions outside the transmission grid to function for the integration of renewables and storage systems.

The model will support policymakers in building knowledgeable decisions while chronologically rejecting the challenges of battery integration in smart grid systems to improve power grid performance.

Based on author’s best knowledge, there is hardly any research that explicitly explains the framework for the barriers of battery integration in grid for developing countries like India. It is one of the first attempts to understand the fundamental barriers for battery integration. This study adds significantly to the literature on the energy sector by capturing the perspective of various stakeholders.

Smart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.

This study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.

The results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.

The users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.

This paper seeks to consider the collaborative efforts of developing a grid computing infrastructure within problem‐focused, distributed and multi‐disciplinary projects – which the authors term interventionist grid development projects – involving commercial, academic and public collaborators. Such projects present distinctive challenges which have been neglected by existing escience research and information systems (IS) literature. The paper aims to define a research framework for understanding and evaluating the social, political and collaborative challenges of such projects.

The paper develops a research framework which extends Orlikowski and Gash's concept of technological frames to consider two additional frames specific to such grid projects; bureaucratic frames and collaborator frames. These are used to analyse a case study of a grid development project within Healthcare which aimed to deploy a European data‐grid of medical images to facilitate collaboration and communication between clinicians across the European Union.

That grids are shaped to a significant degree by the collaborative practices involved in their construction, and that for projects involving commercial and public partners such collaboration is inhibited by the differing interpretive frames adopted by the different relevant groups.

The paper is limited by the nature of the grid development project studied, and the subsequent availability of research subjects.

The paper provides those involved in such projects, or in policy around such grid developments, with a practical framework by which to evaluate collaborations and their impact on the emergent grid. Further, the paper presents lessons for future such Interventionist grid projects.

This is a new area for research but one which is becoming increasingly important as data‐intensive computing begins to emerge as foundational to many collaborative sciences and enterprises. The work builds on significant literature in escience and IS drawing into this new domain. The research framework developed here, drawn from the IS literature, begins a new stream of systems development research with a distinct focus on bureaucracy, collaboration and technology within such interventionist grid development projects.

The purpose of this study is to explore the latest approaches in integrating artificial intelligence and analytics (AIA) in energy smart grid projects. Empirical results are synthesized to highlight their relevance from a technology and project management standpoint, identifying several lessons learned that can be used for planning highly integrated and automated smart grid projects.

A systematic literature review leads to selecting 108 research articles dealing with smart grids and AIA applications. Keywords are based on the following research questions: What is the growth trend in Smart Grid projects using intelligent systems and data analytics? What business value is offered when AI-based methods are applied? How do applications of intelligent systems combine with data analytics? What lessons can be learned for Smart Grid and AIA projects?

The 108 selected articles are classified according to the following four research issues in smart grids project management: AIA integrated applications; AI-focused technologies; analytics-focused technologies; architecture and design methods. A broad set of smart grid functionality is reviewed, seeking to find commonality among several applications, including as follows: dynamic energy management; automation of extract, transform and load for Supervisory Control And Data Acquisition (SCADA) systems data; multi-level representations of data; the relationship between the standard three-phase transforms and modern data analytics; real-time or short-time voltage stability assessment; smart city architecture; home energy management system; building energy consumption; automated fault and disturbance analysis; and power quality control.

Given the diversity of issues reviewed, a more capability-focused research agenda is needed to further synthesize empirical findings for AI-based smart grids. Research may converge toward more focus on business rules systems, that may best support smart grid design, proof development, governance and effectiveness. These AIA technologies must be further integrated with smart grid project management methodologies and enable a greater diversity of renewable and non-renewable production sources.

This study aims to focus on the nexus between off-grid systems and impacts on islands and remote villages in Ghana by investigating the sources and cost of energy, willingness to pay for electricity and impacts of off-grid energy on the local economy, education, health, social activities, the environment and migration.

Data were obtained from 110 households; heterogeneous impact analysis of off-grid technologies, average treatment effect by inverse probability weights (IPW) and inverse probability weighted regression adjustment (IPWRA) models were used to analyse the data.

The sources of energy are gas, kerosene, wood fuel and dry-cell battery. All households in communities with neither electricity nor off-grid system were willing to pay for electricity. Households without off-grid systems (US$8.1) were willing to pay higher amounts per month for electricity. The off-grid technologies improve the local economy, social activities, security, the environment, education and health as well as reduce out-migration.

Most of the literature on mini-grid/off-grid systems have been from the engineering and the technical perspective, with a few on the socioeconomic impacts of the systems and consumer engagements. Besides, methods including descriptive statistics, energy technology sustainability framework and qualitative analysis were used in these studies. Nevertheless, the authors used a more rigorous method of the doubly robust inverse probability weighted regression adjustment model and a heterogeneous method to model the impact analysis of off-grid systems.

Gridded management in the public service supply is still in the experience exploratory stage, and this paper aims to analyze the inherent logic and operation mode of the gridding mechanism of the public supply based on the existing theory study and practices, and verify its efficiency so as to come to the conclusion whether it could be promoted to a wider range.

The methodology applied in this paper was case study/deductive induction.

The grid model in the public service supply needs to be demonstrated completely in theoretical logic and operation principles before it is promoted across the country. Meanwhile, full support of the government is required in terms of service concept, function distribution, technical parameters and infrastructure.

The inherent logic and operation mode of the gridding mechanism of the public service supply needs enough practice tests. The practical test of efficiency analysis of the gridding mechanism of the public service supply is not enough.

This paper validated whether the gridding mechanism that originated from China’s urban management can be promoted to all over the country in the public service supply. It provides references for government policy.

This paper constructs a gridded management model for public service provision in urban and rural areas on the basis of an analysis of the plight of traditional model of public service provision, thus delivering the same standard of public service for both urban and rural areas through optimization of resource allocation without requiring more supply and fundamental change to the content of service.

The increase in demand variability created by manufacturing enterprises presents new challenges for increasing resource usage and sharing flexibility. For this reason, it is of great importance to research manufacturing grids and their service modes. The purpose of this paper is to establish a systematic strategy and a system tool for manufacturing grid systems.

A manufacturing service oriented manufacturing grid (MSoMG) system is presented with open grid service architecture as the system architecture and GT3.9 as a development tool. A framework is proposed to support MSoMG by providing advisory tools and methods for uncertain information analysis and processing, multi-objective decision making of manufacturing grid service execution, manufacturing grid service performance prediction based on knowledge template, and flexible manufacturing grid service scheduling and solution. The methodology of the adopted rough set is discussed in detail. Finally, the design support strategies for MSoMG are investigated to guide the coordination of manufacturing activities.

Many conventional methods and models become very limited for manufacturing grid service with uncertain information. The processing of uncertain information and reasonable application flow can help to improve the completion rate and reliability of manufacturing grid services.

This research provides a solid foundation for manufacturing gird operations and can promote the use of a manufacturing grid mode.

A MSoMG system is presented. The manufacturing grid service with uncertain information is considered as well as design support strategies.

This paper aims to market analysis on the base many factors. Market analysis must be done correctly to increase the efficiency of smart grid technologies. On the other hand, it is not very possible for the company to make improvements for too many factors. The main reason for this is that businesses have constraints both financially and in terms of manpower. Therefore, a priority analysis is needed in which the most important factors affecting the effectiveness of the market analysis will be determined.

In this context, a new fuzzy decision-making model is generated. In this hybrid model, there are mainly two different parts. First, the indicators are weighted with quantum spherical fuzzy multi SWARA (M-SWARA) methodology. On the other side, smart grid technology investment projects are examined by quantum spherical fuzzy ELECTRE. Additionally, facial expressions of the experts are also considered in this process.

The main contribution of the study is that a new methodology with the name of M-SWARA is generated by making improvements to the classical SWARA. The findings indicate that data-driven decisions play the most critical role in the effectiveness of market environment analysis for smart technology investments. To achieve success in this process, large-scale data sets need to be collected and analyzed. In this context, if the technology is strong, this process can be sustained quickly and effectively.

It is also identified that personalized energy schedule with smart meters is the most essential smart grid technology investment alternative. Smart meters provide data on energy consumption in real time.

Grid computing, cloud computing (CC), utility computing and software as a service are emerging technologies predicted to result in massive consolidation as meta‐level computing services of everything beneath one umbrella in the future. The purpose of this study is to foster the understanding and differentiation, by using the three aforementioned types of computing technologies and software, as a service by both public and private libraries to meet their expectations and strategic objectives.

The approach in this study is a review based on comparing the four computing technologies with a brief analysis for researching and designing the mind map of a new meta‐level computing service approach, taking into consideration the need for new economic tariff and pricing models as well as service‐level agreements.

Since it is anticipated that there will be likely potential consolidation and integration of computing services, a study of these four most advanced computing technologies and their methodologies is presented through their definition, characteristics, functionalities, advantages and disadvantages. This is a well‐timed technological advancement for libraries.

It appears that the future of library services will become even more integrated, running over CC platforms based on usage rather than just storage of data.

Libraries will become an open useful resource to all and sundry in a global context, and that will have huge societal benefits never imagined before.

Concisely addresses the strategies, functional characteristics, advantages and disadvantages by comparing these technologies from several service aspects with a view to assisting in creating the next generation outer space computing.

There are 29 million homes in the UK, accounting for 14% of the UK's energy consumption. This is given that UK has one of the highest water and energy demands in Europe which needs to be addressed according to the Committee on Climate Change (CCC). Smart homes technology holds a current perception that it is principally used by “tech-savvy” users with larger budgets. However, smart home technology can be used to control water, heat and energy in the entire house. This paper investigates how smart home technology could be effectively utilised to aid the UK government in meeting climate change targets and to mitigate the environmental impact of a home in use towards reducing carbon emissions.

Both primary and secondary data were sought to gain insight into the research problem. An epistemological approach to this research is to use interpretivism to analyse data gathered via a semi-structured survey. Two groups of participants were approached: (1) professionals who are deemed knowledgeable about smart home development and implementation and (2) users of smart home technology. A variety of open-ended questions were formulated, allowing participants to elaborate by exploring issues and providing detailed qualitative responses based on their experience in this area which were interpreted quantitatively for clearer analysis.

With fossil fuel reserves depleting, there is an urgency for renewable, low carbon energy sources to reduce the 5 tonnes annual carbon emissions from a UK household. This requires a multi-faceted and a multimethod approach, relying on the involvement of both the general public and the government in order to be effective. By advancing energy grids to make them more efficient and reliable, concomitant necessitates a drastic change in the way of life and philosophy of homeowners when contemplating a reduction of carbon emissions. If both parties are able to do so, the UK is more likely to reach its 2050 net-zero carbon goal. The presence of a smart meter within the household is equally pivotal. It has a positive effect of reducing the amount of carbon emissions and hence more need to be installed.

Further research is needed using a larger study sample to achieve more accurate and acceptable generalisations about any future course of action. Further investigation on the specifics of smart technology within the UK household is also needed to reduce the energy consumption in order to meet net-zero carbon 2050 targets due to failures of legislation.

For smart homes manufacturers and suppliers, more emphasis should be placed to enhance compatibility and interoperability of appliances and devices using different platform and creating more user's friendly manuals supported by step-by-step visual to support homeowners in the light of the wealth of knowledge base generated over the past few years. For homeowners, more emphasis should be placed on creating online knowledge management platform easily accessible which provide virtual support and technical advice to home owners to deal with any operational and technical issues or IT glitches. Developing technical design online platform for built environment professionals on incorporating smart sensors and environmentally beneficial technology during early design and construction stages towards achieving low to zero carbon homes.

This paper bridges a significant gap in the body of knowledge in term of its scope, theoretical validity and practical applicability, highlighting the impact of using smart home technology on the environment. It provides an insight into how the UK government could utilise smart home technology in order to reduce its carbon emission by identifying the potential link between using smart home technology and environmental sustainability in tackling and mitigating climate change. The findings can be applied to other building types and has the potential to employ aspects of smart home technology in order to manage energy and water usage including but not limited to healthcare, commercial and industrial buildings.