According to UNITED NATIONS SUSTAINABLE DEVELOPMENT GOALS report, Pakistan's Power sector deficits average 4,000 megawatts which is the main cause of the power breakdowns and load-shedding in peak seasons. It gets even worst due to the presence of Transmission end and Consumer end losses. Considerab
ARTIFICIAL INTELLIGENCE BASED ENERGY MANAGEMENT AND CONTROL SYSTEM
According to UNITED NATIONS SUSTAINABLE DEVELOPMENT GOALS report, Pakistan's Power sector deficits average 4,000 megawatts which is the main cause of the power breakdowns and load-shedding in peak seasons. It gets even worst due to the presence of Transmission end and Consumer end losses. Considerable amount of research literature has been published to counter Transmission end losses. However, less literature has been reported on the consumer end losses. Thus the focus of the presented work is on consumer end losses. In our daily life, we utilize a lot of energy each day from charging electronics devices to heavy motors. In fact, in 2014, the average Pakistan residential household consumed 5,982 kWh of electricity and spent around Rs.100,000 annually on utility bill [1].
In order to solve the consumer end losses, an efficient Artificial Intelligence-based Energy Control and Management System is proposed. It serves as the caretaker of all the energy-related affairs at consumer end (workplaces/homes/industry) and provides easy access to the user in a friendly way. The proposed design can be managed through the selection of efficient appliances and by utilizing AI algorithms, it also estimates the energy consumption in a pre-defined budget. The designed system consists of both Hardware and Software in an integrated device.
The proposed project can be implemented in houses as well as in industry. Furthermore, the proposed system not only save energy but it also utilized the appliances within the consumer's prescribed budget.
Reference:
[1] Said., G.Nabi, S.Ahmed, K. A. Awan., and A.Khattak. Electrical Energy Regulation and Load Management for addressing Power Crisis in Pakistan."In Proceedings of 2nd International Multi-Disciplinary Conference, vol. 19, p.20. 016.
This project embarks on the following objectives;
In the proposed system consumer/user could interact with the system using smartphone application or by manual control through touch switches on sub-units which will replace conventional switchboards.
Implementation scheme is shown below:

The following are the socio-economic benefits of the projects:
Reference:
[2] M. M.Rafique., & S.Rehman., National energy scenario of Pakistan Current status, future alternatives, and institutional infrastructure: An overview. Renewable and Sustainable Energy Reviews, 69, 156-167. 2017.
The proposed system comprises of three units namely Master-hub, Back-end unit and Sub-units which consists of the following hardware:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi with Accessories | Equipment | 1 | 8500 | 8500 |
| Capacitive Touch Switches | Equipment | 25 | 230 | 5750 |
| Power Latch Relay | Equipment | 25 | 430 | 10750 |
| Miniature Power Supply and ICs | Equipment | 20 | 350 | 7000 |
| Micro-controller modules | Equipment | 6 | 1660 | 9960 |
| PCB Fabrication | Equipment | 4 | 1450 | 5800 |
| Body structure material | Equipment | 4 | 3000 | 12000 |
| Sensors/Electronics Components | Equipment | 1 | 5000 | 5000 |
| Wiring and Tools | Equipment | 1 | 4500 | 4500 |
| Posters,Presentation and Reports Printing | Miscellaneous | 4 | 1800 | 7200 |
| Final Model Finishing | Miscellaneous | 1 | 2000 | 2000 |
| Total in (Rs) | 78460 |
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