Smart Residential Buildings Energy Management System
This project is based on Machine Learning and IoT. In this project we are developing a predictive and switching mechanism for conservation of Energy we are monitoring data using sensors sending them to cloud using concept of IoT and implementing machine learning algorithms for energy conse
2025-06-28 16:35:40 - Adil Khan
Smart Residential Buildings Energy Management System
Project Area of Specialization Internet of ThingsProject SummaryThis project is based on Machine Learning and IoT. In this project we are developing a predictive and switching mechanism for conservation of Energy we are monitoring data using sensors sending them to cloud using concept of IoT and implementing machine learning algorithms for energy conservation the data and efficiency of system can be monitored using mobile fone applications the app features also include carbon monoxide level indicator and appliances control smart lighting controls switching between most efficient energy source and control of all energy consuming devices in mobile application
Project ObjectivesEnergy Management
- Acquiring Electricity consumption and Gas consumption data
- Collection of data and sending to the microcontroller for further steps
- Filtration of the data and implementation of smart energy management and conservation algorithm
- Testing and improvements
Smart Automation
- Implementation of the sensors and monitoring components.
- Collection of data from the sensors wirelessly through IoT concepts using Bluetooth and Wi-Fi and sending it to the microcontroller.
- Filtration of the extracted data and implementation of algorithms to optimize the running devices to conserve the energy and to enhance the user experience.
- Testing and improvements
Mobile Application
- Designing the structure, UI (user interface) of the application.
- Collecting the data from all the implemented devices to show on the application and conveying commands from user to every device hooked in the network
- Bugs removal and optimization of application
- Selection of suitable hardware components for the process of Data acquisition from Electricity and Gas Meters.
In the first step, the survey for the suitable hardware components including micro-controller sensors and related equipment will be performed for the implementation.
- Implementing sensors and devices based on IoT and testing the wireless communication between devices to acquire data and train system.
The second step is the installation of sensors and linking them to the microcontroller. The sensors will be communicating with the microcontroller and data will be uploaded to the cloud for the production of a valid data set for the system training. After the data Acquisition algorithms will be applied to the data set and the efficiency will be observed and required improvements will be made.
- Designing and implementing switching to on and off devices using relay structure through mobile Application.
The third step will be the development of the mobile application providing a user-friendly interface to the user and the gateway to interact with the system and the devices hooked on to the system. The mobile application will have the functionality to provide the switching control of its devices to the user.
- Designing Mobile Application to control electric appliances and forecasting of energy consumption enabling the system to switch between electric and gas based appliances like gas or electricity heater on the basis of decision taken by smart energy optimization algorithm to diminish the use of particular source that is increasing the thresh hold level.
The mobile application will be linked to the cloud from where the data is being stored to observe the real-time consumption of the energy in the household. The AI algorithms applied to the acquired real-time data and the decisions made will be visible to the user to observe the real-time energy conservation. Suggestions for better energy saving will be generated for the user as well. i.e.
- Implementing security and Smart lights control level system on the basis of acquired data and hardware.
The project will be providing a security feature as well to the users. The users will be able to monitor the security status of its house and sensors including the Carbon Monoxide sensor will keep the user aware of the air quality level of the rooms. Moreover, the automatic lighting system for the household will also be provided by implementing sensors of light quality and adjusting it accordingly.
- Checking errors bugs and efficiency of the system including the techniques of fault tolerance.
After the completion of the above-mentioned tasks, the final efficiency of the system will be analyzed and any possible technical faults will be addressed.
- Prototyping of project and final testing before final demonstration.
In the last step, the system will be deployed in a household for observing the performance and for the elimination of any possible bug.
Benefits of the Project“Energy cannot be created neither destroyed” but it can be saved. We use energy products on a daily basis and often we think about the amount of energy gets wasted on a daily basis by our negligence. We can overcome this problem by optimizing and managing our daily energy consumption. Moreover, the bills are also affected by such negligence because when a unit’s cross certain threshold price per unit increases due to certain slabs set by the government of unit prices. This thing can be controlled if we look at key operation functions such as monitoring our consumption, load forecasting, and load balancing. Our Project of Smart Residential Energy Management system is to collect the energy consumption data and transfer it to the microcontroller. This innovative system transparently unifies various home appliances, smart sensors, and energy technologies through which we will optimize and manage our daily energy consumption via application in which the user has access to control and monitor his energy products. The smart automation system is also implemented in this project to control and monitor the appliances based on IoT principles and Artificial Intelligence (AI). The security system is also included in this automation system to provide the user safety precautions for his residence. The Android-based application will be built to display energy usage and give access to control and optimize the appliances on hand.
The major part of Pakistan’s population is not considered as rich and the main ambition of their day to day life is to make their ends meet. In today's time where the prices of electricity and gas are very high, a common Pakistani finds every possible method to reduce its expenditures. Smart Residential Building Energy Management System will provide a very efficient way for the reduction of energy consumption in a common household. The system will reduce the power consumption using its smart algorithms drastically in a household and eventually the bill of a common person will be reduced significantly.
In Pakistan, the production of electricity is less than the demand that’s why Pakistan faces load shedding as well to manage it. The system will save Electricity which will be a contribution to the national grid.
The system will also improve the standard of living of a common person as a common Pakistani is far behind in the technological field than the rest of the world. The system will be providing easy control over the appliances hooked on the system, their monitoring, switching and giving them commands accordingly through the mobile application.
Smart Residential Building Energy Management System will be addressing a major issue of a global and especially Pakistani society which is the Energy wastage and its inefficient management in a common household. The system will reduce the Energy wastage and hence the consumption of energy will be reduced as well through the management of resources
Technical Details of Final Deliverable Microcontroller based device including sensorsThe Smart Residential Building Energy Management System will be based on a microcontroller on which all the sensors i.e. current sensors, gas flow sensors, temperature sensors will be hooked on. The microcontroller will be sending the acquired data on the cloud-based platform.
The smart algorithms will be embedded on the microcontroller and using these algorithms the microcontroller will be making decisions and sending the signal to the hooked devices for further actions.
Mobile ApplicationThe mobile application will be playing a key part in this project. The data uploaded on the cloud-related to the energy consumption will be accessed through the mobile application and the monitoring of the status of the hooked devices will be monitored as well. User will be able to send the commands i.e. switching to the microcontroller for his desired actions to be performed
The AI algorithms will be implemented in the mobile application for a better understanding of the data and for providing better and efficient suggestions to use to maximize energy saving.
Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Energy Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Affordable and Clean Energy, Climate Action, Partnerships to achieve the GoalRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 75400 | |||
| Arduino Uno | Equipment | 2 | 2500 | 5000 |
| Nodal MCU | Equipment | 2 | 3000 | 6000 |
| esp8266 | Equipment | 2 | 500 | 1000 |
| ACS 712 | Equipment | 4 | 500 | 2000 |
| Water flow sensor | Equipment | 4 | 1500 | 6000 |
| Raspberry pi | Equipment | 1 | 30000 | 30000 |
| Multimeter | Equipment | 1 | 2000 | 2000 |
| Vero Board | Equipment | 3 | 1000 | 3000 |
| MQ9 sensor module | Equipment | 4 | 800 | 3200 |
| DHT 22 | Equipment | 4 | 800 | 3200 |
| Lights | Equipment | 4 | 2000 | 8000 |
| Soldering Iron | Miscellaneous | 1 | 1500 | 1500 |
| Gas Pipe | Miscellaneous | 1 | 1000 | 1000 |
| Copper Wire | Miscellaneous | 1 | 1000 | 1000 |
| Jumper wires | Miscellaneous | 1 | 500 | 500 |
| Digital Humidity and temperature measuring device | Miscellaneous | 1 | 2000 | 2000 |