Understanding Electric Charges With Self-service Business Intelligence Tools – Open Access Policy Institutional Open Access Program Special Guidelines Editorial Guidelines Research and Publication Process Article Processing Ethics Awards Testimonials
In the rapidly evolving world of technology, understanding complex concepts like electric charges can be significantly enhanced with the use of self-service business intelligence tools. These tools are not just limited to business analytics; their application extends into various scientific domains, including the study of electricity. This article delves into how these innovative tools can be leveraged to deepen our understanding of electric charges.
The Fundamentals of Electric Charges
Before we explore the application of business intelligence tools in understanding electric charges, it’s crucial to grasp the basic concepts. Electric charges are the fundamental properties of particles that cause them to attract or repel each other. They come in two types: positive and negative. The interaction between these charges is the foundation of electricity.
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Understanding Electric Charges With Self-service Business Intelligence Tools
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Quality papers represent research of the highest quality with the greatest potential for significant impact in the field. A Feature Paper should be a large original article that includes several techniques or methods, provides an overview of future research directions and describes potential research applications.
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Editor’s Choice articles are based on recommendations from scientific journal editors from around the world. The editors select a small number of newly published articles in the journal that they believe will be of most interest to readers, or important in the field of research. The aim is to give an overview of some of the interesting work published in the various research areas of the journal.
By Mlungisi Ntombela Mlungisi Ntombela Scilit Preprints.org Google Scholar View Publications * , Kabeya Musasa Kabeya Musasa Scilit Preprints.org Google Scholar View Publications and Katleho Moloi Scilit Preprints.org Google Scholar View Publications
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Papers must be submitted by individual invitation or recommendation of scientific editors and receive constructive feedback from reviewers.
Editor’s Choice articles are based on the recommendations of scientific editors of journals from around the world. The editors have selected a number of recently published journal articles that they believe will be of particular interest to readers or important to a relevant research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
By Konstantina Dimitriadou Konstantina Dimitriadou Scilit Preprints.org Google Scholar View Publications 1, Nick Rigogiannis Nick Rigogiannis Scilit Preprints.org Google Scholar View Publications 1, Symeon Fountoukidis Symeon Fountoukidis Scilit Preprints.org Google Scholar View Publications 1, Failitre Kota Publications 1, Failitre Kota org Google Scholar View Publications 1; Anastasios Kyritsis Anastasios Kyritsis Scilit Preprints.org Google Scholar View Publications 2, 3 and Nick Papanikolaou Nick Papanikolaou Scilit Preprints.org Google Scholar View Publications 1; *
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Finally, it is important to review self-service analytics programs regularly. This means taking feedback and making changes and improvements regularly so that the program continues to meet the needs of users. Additionally, it is important to track metrics so that progress can be monitored and issues addressed in real time.
A self-service analytics platform should be easy to use and allow users to access and analyze data quickly. It should have an intuitive interface that is easy to navigate. Ease of use is important for users to access data without going through multiple steps.
As your business grows, it’s important that your self-service analytics platform can scale with you. Platforms without scalability can quickly become obsolete, as they cannot keep up with the changes businesses face as they grow.
A self-service analytics platform should be flexible enough for users to create customizable reports, without relying on IT or other departments for help. This level of flexibility is essential for making data-driven decisions quickly.
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Submission received: 20 January 2023 / Revised: 9 February 2023 / Accepted: 16 February 2023 / Published: 20 February 2023
(This article covers electric and hybrid transportation systems, renewable energy sources, energy harvesters, and power electronics applications with special emphasis on energy conservation)
The necessity to minimize greenhouse gas (GHG) emissions has spurred the adoption of green transportation. As a result, many countries have adopted electric vehicle (EV) legislation and are making technological improvements to electrify transportation.
This article provides a complete review of the infrastructure used for conductive and contactless (wireless) EV battery charging. A detailed discussion of EV integration into existing distribution networks and future power system topologies follows.
Wireless (inductive) charging is prioritized. Standards, charging levels, magnetic connectors, and compensation network configurations are given. Innovative technologies like dynamic and semi-dynamic wireless charging and future problems and opportunities are also highlighted. Finally, EV charging smart control and communication technologies are given in the context of the future IoE.
Electric vehicle (EV); EV charging; conductive EV charging; wireless EV charging; Smart EV charging; charging infrastructure; Vehicle-to-Grid (V2G)
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Public awareness of the adverse environmental effects caused by greenhouse gas (GHG) emissions and the impact of GHGs on the climate has prompted major changes in the transportation sector. Conventional transportation, equipped with Internal Combustion Engines (ICE), is one of the most important sources of air pollution. indeed, According to the findings of the European Commission, transport represents almost a quarter of the GHG emissions of Europe [1, 2]. Therefore, many EU countries have intensified their policy regarding the electrification of road transport by implementing key measures promoting the deployment of electric vehicles (EVs) and their respective charging infrastructures in order to reach the targets emissions are low.
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First, in more detail; The current state of the infrastructure used for both conductive and wireless charging of EV batteries is presented. in particular, action The relevant charging standards and power converter topologies as well as the technologies used to control them in conductive EV charging are thoroughly explained. Later, a brief description is given focusing on possible methods for wireless power transfer.
Role of Self-Service Business Intelligence Tools
Self-service business intelligence tools offer a unique approach to studying and understanding these charges. These tools are designed to help users analyze and visualize data without needing extensive technical know-how. They are user-friendly and allow for the manipulation of large datasets to uncover patterns and relationships.
One of the most significant advantages of these tools is their ability to visualize complex data. For instance, when studying electric charges, these tools can be used to create interactive graphs and charts that show the relationship between various charges, their interactions, and the resulting effects. This visualization aids in making abstract concepts more tangible and easier to understand.
Another critical aspect is predictive analysis. By using historical data on electric charges and their behavior, these tools can predict future trends and patterns. This is particularly useful in experimental physics, where predicting the outcomes of experiments can save time and resources.
Dealing with electric charges often involves complex calculations. Self-service Business Intelligence tools can automate these calculations, making it easier for researchers and students alike to focus on the implications of their findings rather than getting bogged down with numbers.
In educational settings, these tools can revolutionize how students learn about electric charges. Interactive dashboards and simulations can make learning more engaging and intuitive. Instead of traditional methods, students can experiment with virtual models, seeing the immediate effects of changing variables.
In research, Understanding Electric Charges With self-service Business Intelligence tools enable scientists to analyze vast amounts of data from experiments quickly. This accelerates the research process, allowing for quicker validation of theories and hypotheses about electric charges.
While the benefits are significant, there are challenges. Ensuring data accuracy is crucial, as faulty data can lead to incorrect conclusions. Additionally, there’s a learning curve associated with these tools, though it’s relatively mild compared to more traditional, technical tools.
The integration Understanding Electric Charges With self-service business intelligence tools in understanding electric charges opens up new possibilities for both education and research. These tools make complex concepts more accessible and provide a platform for more efficient data analysis and visualization. As technology continues to advance, the scope of these tools will only expand, further enhancing our ability to understand and manipulate the world of electric charges.
