Enjoy Upto 50% OFF on Assignment Solutions!
Prototype Design On Intelligent Energy Monitoring System Assignment Sample By Native Assignment Help.
Ph.D. Writers For Best Assistance
Plagiarism Free
No AI Generated Content
Are you in need of online assignment help in the UK with a free assignment sample? Look no further than Native Assignment Help. We have a dedicated team of professionals who are committed to delivering customised support for your academic needs and ensuring that you get excellent marks on all your assignments.
A system that uses computers and is d an Intelligent Energy Monitoring System (IEMS) is used for monitoring and controlling energy production and use in residential, commercial, and industrial buildings. IEMS must be included in existing structures and configurations to provide immediate form energy information. Consumption of energy is then optimized and efficiency is increased using that information. IEMS has been brought into practice in many countries as energy conservation initiatives gain importance in the face of warming temperatures. Property managers and management of energy teams will better comprehend energy use and uncover wastefully adhere with the assistance of an IEMS. As a result, energy consumption is more appropriately used, expenses for operation are reduced, and profits are enhanced. IEMS consists of a variety of capabilities and amenities that are designed to help energy administration teams in constraining and maximizing energy consumption. This means keeping an eye constantly and evaluating the patterns of usage of energy, providing continually changing information regarding energy applications, and finding possible savings prospects. Furthermore, it features software-generated alarms about the consumption of energy and related cost restrictions. Property owners and energy management crews may effectively monitor energy consumption while making knowledgeable choices regarding electricity use with the backing of an IEMS, avoiding money and safeguarding the planet's health.
An efficient energy surveillance system must be designed to determine its efficacy and manageability as time progresses. Defining the application and the hardware and software essentials ought to be a part of the process of designing, subsequently followed by the execution of several tests to spot possible weaknesses and improve the effectiveness of the system (P., et al 2019). The desires of someone using it ought to inform the development of an early version of the system. This means setting up the operating system and the technical components (which might include sensors, processors, storage media, etc.). For optimal conception and execution, it may be desirable to incorporate several competencies, according to the degree of difficulty of the job at hand. Before advancing into manufacture, the technology needs to undergo meticulously verified with actual information to identify and solve any issues that may arise (De S., et al 2020). To allow it to be developed in fulfilling the requirements they have, the working prototype needs to be able to acquire feedback from users and adapt to it. Additionally, to assure scalability and trustworthiness, the first version could require to be enlarged for large-scale installations. As a result, a working example of an adaptive energy surveillance system is needed to assess its effectiveness and functionality (Shah, N., et al 2020). Designing both the software and the hardware components should be then followed by feedback from users' payment, testing various circumstances employing data from the real world, and becoming the system as appropriate. An effective final product will be the result produced and the customer's experience can be improved by doing this properly.
The purpose of these prototypes is to enhance the efficiency of the corporate processes' consumption of electricity. It has monitors that are connected to an online platform that displays visuals of data and recommendations. The person using the device could track the consumption of electricity in immediate form and discover positions where it doesn't get used effectively, as well as significant cost-saving possibilities (Vappangi, S., et al 2021). When the consumption of energy deviates from already established thresholds, the monitor additionally generates preemptive alerts.
Figure 1: Home page
The home page is built here using the Google site platform. The Name of the website which is the “Intelligent energy monitoring system” has been created on the home page of the website. On the above side of the home page there was the home, energy consumption and the more option has been given (Khan, F et al 2020). Here in the above diagram, the home page is also constructed using the tenant t A1 graphical representation for the consumption rate of the energy appliances of the various electronic devices. Here again, the demands have been shown on the left side of the graphical representation. This representation has been designed for the 136,0000 to 128,0000 in a decreasing manner with the gapping of 2000. The graph has represented the changes in the monthly consumption of energy using the monitoring system. Here the blue line is represented for the actual demand and the red line is denoted for the KNN forecasted demand. The monthly demand with the actual and the KNN forecasted demand assumptions has been shown based on June to December in a statistical manner.
Figure 2: About Us page
It is the about us page for the building of this website page for building this prototype designing process. Here in this context, the about us page contains various information about the smart energy management system. Whereas the system modeling is done by using the various upgoing technology by which the connectivity can be built for the Internet of Things for the structural design of the smart energy management system (Sanchez-Sutil et al 2019). Next here also the tracks, the various measures, the control variables, and the optimization processes for enabling the energy consumption can be done for the building of the prototype design with the complexity of the various office resources. This about us page on the left side also built the power consumption graph for the analysis of the various rates of the power distributions for particular energy resources. That helps to show the perfect energy resources conceptual graphical representation, which creates the concept of the various analytical and also helps in the assumption rate recognition of the energy resources with the particular energy monitoring system analysis.
Figure 3: Energy consumption page
Here the energy consumption page has been designed using the Google site application. Here in this context, the energy consumption representation has been shown for the Cost prediction, usage estimation, change in cost, and for energy intensity assumptions (N.R., et al 2019). Here the cost prediction is shown in a pie chart representation showing the assumptions of the different clients with their energy assumption and their monthly cost prediction value in the manner of the pie chart representation. The changes in the cost have been represented in a bar graph manner. The energy intensity representation has been shown in a line graph manner. And the usage estimator representation is also shown with the coloring representation.
Figure 4: Home appliances page
This page is built for the home page appliances using the Google site application. Here this page has been built using the bar graph representation from 4kWh to 20 kWh energy assumptions. The gapping of the graphical representation is 4kWh for each. Again here the graphs have been shown in a bi-color representation, where the energy assumption above the 8kWh will be marked as yellow and below that will be marked as green as it is a safe marking for the user (Chaves, P., et al 2021). Above this graphical representation here the various appliances have been shown based on which the energy assumption perimeters will be calculated. Now in the part of the appliance here the user can analyze the appliances in a monthly manner, in day to day manner and also in a yearly manner. By selecting the ‘select any one’ option the assumption history can be shown. At the top of this page, the of the page has been shown, “Home appliances control”.
Figure 5: Cost tracking page
This page is built for the cost tracking page. Here this page is built by analyzing the various cost assumption details. The various options, i.e., the day-to-day criteria, the monthly criteria, and the yearly criteria have been shown. Whereas by assuming the month of April here the monthly energy assumption has been calculated on a dollar basis (I.H., et al 2019). The serial number for April is given as $203 The monthly expenses for April are taken as $172.6. Here the predicted assumption value for this month is calculated as $214. Here the estimated savings have been done for the application of the energy monitoring system is $11.
After creating the cost tracking page here the Footer page has been created. Now to create this footer page here the various company , product s, and contact details has been given. Now here the other login options are also given. If one can try or want to join the website page into the website of the energy monitoring system, then the user can also log in using the Facebook account details, Instagram account details, or Twitter account details (Sudarma, M., et al 2020). Here to do the energy consumption here the company has been selected as ‘Intelligent Energy Monitoring System’. Next here the products' s are given as the Energy consumption, the Home appliances elements, and the cost tracking elements. Here in the next part, the contacts have been taken as the email Id details of the particular company and also for the U.K based company with their phone number details.
Based on business studies and data about current customers, a user persona is an image of the perfect customer. The goal of this tool is to assist you acquire an improved comprehension of the target audience's wants, drivers, and habits so you can produce products and services to meet those requirements (Zafar, S., et al 2021). The user personas provide employees with a "big picture" view of the consumers' qualities and inclinations, thereby rendering it easier to be able to relate to customers. They additionally offer customers information for making decisions and assist with choosing which amenities and amenities to give preference to. By stressing that they create things for genuine individuals, they encourage and encourage their colleagues.
After creating the Footer page here the User persona page has been created for the Homeowner details. Here to create the homeowner page here the user details have been shown on the above page. Here After login into the page, any user can create the homeowner page for their interest. Here in the above the user details will be shown for the particular user with their details. In the user details part here the Subject, The unique university Id details, and the user Id code will be shown By which the particular user or the student can be identified, particularly who are taking part in the energy monitoring system. After that here is the Student's , their country particularly to which country they belong and the Email Id details will be given for further contact details (V.M., et al 2020). That if required the company can collaborate or can contact the particular student with their personal details and personal requirements. At the left-last corner of the page there the gender details that the student is male or female that has been shown and also here the date of birth with their particular User QR code has been given for the registration purpose or rather it can be said that using this user QR code, by scanning this code any monitory transactions or any login details option can be seen. In the above right corner of the page there the picture of the particular user can be given.
After creating the Homeowner page here the User persona page has been created for the Engineer details. Here to create the Engineer page here the user details have been shown on the above page. Here After login into the page, any user can create the Engineer page for their interest. Here in the above the user details will be shown for the particular user with their details. In the user details part here the Subject, the unique employee Id details, and the user Id code will be shown (He, D., et al 2019). By which the particular user or the student can be identified, particularly who is taking part in the energy monitoring system. After that here is the Student's , their country particularly to which country they belong and the Email Id details will be given for further contact details. That if required the company can collaborate or can contact the particular student with their personal details and personal requirements. At the left-last corner of the page there the gender details that the student is male or female that has been shown and also here the date of birth with their particular User QR code has been given for the registration purpose or rather it can be said that using this user QR code, by scanning this code any monitory transactions or any login details option can be seen. Here in the above right corner, the picture can be given for the identification of the particular engineering student.
An important phase in the prototype development of an efficient energy surveillance system is the investigation into the project environment. It permits us to gain an understanding of the energy system and highlight the necessary components as well as procedures that are needed for successful energy monitoring. Evaluating the task-environment link, particularly defining the connection across tasks and the setting that they work in, is an element of work domain assessment (Khemakhem, M., et al 2021). This takes place in the instance of energy surveillance by looking into the way the electricity system and its parts affect supervision-related tasks. Considering the interactions amongst various electricity generation types, the flow of electricity from the electricity grid, the function of storage mechanisms for energy, or the effect of consumption of energy on the infrastructure as a whole may all feature in the discussion.
Here the work domain page has been created for the analysis of the various energy resources and consumption details. Here the Work domain analysis is symbolized and this flowchart has been created in the draw.io. Here again, to do the work domain analysis here at first the measuring of the energy consumption is needed. Again on the other hand the measuring of the production has been shown. Comparing both the things that are the production and the consumption of the energy and the measurement ratio will help to adjust the availability of the energy demands by the various users. After that by assuming both of the things here the target has been set for controlling the energy consumption details of the comparison for the production and the consumption ratio (J.C.L., et al 2020). By assuming all the analysis of the measurements and the energy consumption there the report will create the notation and for recording the details of the energy assumptions for the particular energy measurement functions. After that at the last stage, the final stage will be created. Now actions should be taken to save various energy resources. There are various types of ways that are present following which the energy resource assumption can be controlled and it also can be analyzed. After that here in this way, the work domain analyses will be done for the energy resource analysis.
This page is created for the user-centered design application page. Here this page has been created for the various users, who are engaging with this software. Here the whole design concept has been shown. Thus here the flowchart has been formed with the various steps. Like the research, concept building, ensign, and after that, the build is formed. Here the research part has been built for the investigation of the energy assumptions and it should be done for the analysis of the energy resources (E.R.S., et al 2022). Now the concept of energy consumption should be analyzed with research-oriented results. Thus here is the analyzed result from the application of the energy resources and the measurement analysis of the various energy resources with the demands of the various energy resources. Thus after this part of the conceptual aspects here, the energy resource preservations concept can be analyzed.
Thus here after the concept building the next step follows the design orientation for the various concepts of the prototype design, the intellectual concepts can be applied for the preservation of energy resources, with the measurement and for the application of the demands for the various energy consumption analysis (Es-sbai, N., et al 2020). And at the last part belongs to the building of the prototype design that helps to create the concept of the uses of the energy resources and it is also helpful in the user-centered design for the application of the protected energy monitoring system, with the implementation of the various energy resources assumption and energy conservation entities. This design is built with the conceptual assumption of the user-centred medium.
A PERT graph is an initiative management tool intended for demonstrating how an individual project is developing. This type of diagram is usually employed to show the sequence in which assignments should be performed (as well as the times they should begin or conclude), as well as offer a rough estimation of the amount of time each assignment will take to be finished (K.V.S.M., et al 2020). A PERT chart will assist team members see the whole picture, breaking out big assignments into simple tasks, and detecting prospective issues or blockages. Furthermore, it enables administrators to notice hazards and make strategies to address those.
Conclusion
In this situation, the widespread use of an advanced energy tracking device has the potential to completely transform how providers of energy track and control the way they use energy. Energy companies would be able to quickly react to any differences in demand through the implementation of an advanced artificial intelligence system that will enable them to monitor the consumption of electricity by each consumer. The intelligent electricity monitoring system will additionally provide providers of energy with the information that they need to guarantee an intelligent and efficient use of renewable resources. In the end, this device's application would lessen wasteful consumption of energy simultaneously fostering value for money and longevity.
Reference list
Journals
Pawar, P., 2019. Design and development of advanced smart energy management system integrated with IoT framework in smart grid environment. Journal of Energy Storage, 25, p.100846.
Khan, W.A., Das, P., Ghosh, S., Chowdhury, M.R., Tripathi, S., Kaur, S., Chatterjee, S. and De, S., 2020, January. Smart IoT communication: Circuits and systems. In 2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 699-701). IEEE.
O’Dwyer, E., Pan, I., Charlesworth, R., Butler, S. and Shah, N., 2020. Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems. Sustainable Cities and Society, 62, p.102412.
Kondaveeti, H.K., Kumaravelu, N.K., Vanambathina, S.D., Mathe, S.E. and Vappangi, S., 2021. A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations. Computer Science Review, 40, p.100364.
Khan, F., Siddiqui, M.A.B., Rehman, A.U., Khan, J., Asad, M.T.S.A. and Asad, A., 2020, February. IoT based power monitoring system for smart grid applications. In 2020 International Conference on Engineering and Emerging Technologies (ICEET) (pp. 1-5). IEEE.
Sanchez-Sutil, F., Cano-Ortega, A., Hernandez, J.C. and Rus-Casas, C., 2019. Development and calibration of an open source, low-cost power smart meter prototype for PV household-prosumers. Electronics, 8(8), p.878.
Ahdan, S., Susanto, E.R. and Syambas, N.R., 2019, October. Proposed Design and Modeling of Smart Energy Dashboard System by Implementing IoT (Internet of Things) Based on Mobile Devices. In 2019 IEEE 13th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (pp. 194-199). IEEE.
Pimenta, N. and Chaves, P., 2021. Study and design of a retrofitted smart water meter solution with energy harvesting integration. Discover Internet of Things, 1, pp.1-15.
Chen, Y.Y., Lin, Y.H., Kung, C.C., Chung, M.H. and Yen, I.H., 2019. Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes. Sensors, 19(9), p.2047.
Purwania, I.B.G., Kumara, I.N.S. and Sudarma, M., 2020. Application of IoT-Based System for Monitoring Energy Consumption. International Journal of Engineering and Emerging Technology, 5(2), pp.81-93.
Hashmi, S.A., Ali, C.F. and Zafar, S., 2021. Internet of things and cloud computing?based energy management system for demand side management in smart grid. International Journal of Energy Research, 45(1), pp.1007-1022.
Gangatharan, S., Rengasamy, M., Elavarasan, R.M., Das, N., Hossain, E. and Sundaram, V.M., 2020. A novel battery supported energy management system for the effective handling of feeble power in hybrid microgrid environment. IEEE Access, 8, pp.217391-217415.
Du, G., Zou, Y., Zhang, X., Kong, Z., Wu, J. and He, D., 2019. Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning. Applied Energy, 251, p.113388.
Kallel, A., Rekik, M. and Khemakhem, M., 2021. IoT?fog?cloud based architecture for smart systems: Prototypes of autism and COVID?19 monitoring systems. Software: Practice and Experience, 51(1), pp.91-116.
Chiesa, G., Di Vita, D., Ghadirzadeh, A., Herrera, A.H.M. and Rodriguez, J.C.L., 2020. A fuzzy-logic IoT lighting and shading control system for smart buildings. Automation in construction, 120, p.103397.
Rajan Jeyaraj, P. and Nadar, E.R.S., 2022. Smart-monitor: patient monitoring system for IoT-based healthcare system using deep learning. IETE Journal of Research, 68(2), pp.1435-1442.
Cheddadi, Y., Cheddadi, H., Cheddadi, F., Errahimi, F. and Es-sbai, N., 2020. Design and implementation of an intelligent low-cost IoT solution for energy monitoring of photovoltaic stations. SN Applied Sciences, 2(7), p.1165.
Kumar, P.S., Chandrasena, R.P.S., Ramu, V., Srinivas, G.N. and Babu, K.V.S.M., 2020. Energy management system for small scale hybrid wind solar battery based microgrid. IEEE Access, 8, pp.8336-8345.
Go Through the Best and FREE Samples Written by Our Academic Experts!
Native Assignment Help. (2024). Retrieved from:
https://www.nativeassignmenthelp.co.uk/prototype-design-on-intelligent-energy-monitoring-system-assignment-sample-25176
Native Assignment Help, (2024),
https://www.nativeassignmenthelp.co.uk/prototype-design-on-intelligent-energy-monitoring-system-assignment-sample-25176
Native Assignment Help (2024) [Online]. Retrieved from:
https://www.nativeassignmenthelp.co.uk/prototype-design-on-intelligent-energy-monitoring-system-assignment-sample-25176
Native Assignment Help. (Native Assignment Help, 2024)
https://www.nativeassignmenthelp.co.uk/prototype-design-on-intelligent-energy-monitoring-system-assignment-sample-25176
Reducing Environmental Pollution by Using EVs Assignment...View or download
Application Development using Data Structure Assignment...View or download
Leading People 1. Introduction - Leading People {{TEXT4}} Leadership is...View or download
Business Introduction-Business {{TEXT4}} In order to interpret the growing...View or download
Introduction to Psychology Assignment {{TEXT2}} Introduction to...View or download
Personal Development Plan and Reflective Narrative Assignment...View or download
Get your doubts & queries resolved anytime, anywhere.
Receive your order within the given deadline.
Get original assignments written from scratch.
Highly-qualified writers with unmatched writing skills.
We utilize cookies to customize your experience. By remaining on our website, you accept our use of cookies. View Detail
Hi! We're here to answer your questions! Send us message, and we'll reply via WhatsApp
Please enter a messagePleae enter your phone number and we'll contact you shortly via Whatsapp
We will contact with you as soon as possible on whatsapp.
Ph.D. Writers For Best Assistance
Plagiarism Free
No AI Generated Content
offer valid for limited time only*