A Real Time, Wireless And Low Cost Data Acquisition System For Residential Pv Modules

A Real Time, Wireless And Low Cost Data Acquisition System For Residential Pv Modules

₹12,000.00
Product Code: Embedded-Raspberry Pi
Availability: In Stock
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Product Description

Aim:

          Aim of this projects is to build a Weather and Load forecasting system for residential microgrid systems using machine learning algorithm.


Introduction:

 

          Sustainable development and environmental issues are crucial objectives of the energy sector. Re-structure of the electrical power market, diffusion of the renewable energy technologies, promotion of distributed generation (DG), and transmission integration are some leading tools for the energy sector to sustainable development as its ultimate goal. The deployment of DG units has received a great deal of attention. For instance, renewable energy sources (RESs) accounted for 26.5% of the global electrical power demand in 2017, and it is predicted to increase in next years.

Prosumers- An individual who produce and consume the value. Prosumer microgrid systems are grabbing attention in recent studies. Such this systems person who producing the electricity using power sources like Photo Voltaic Modules (PV Modules) and Wind turbine. To effectively utilize these kind of systems we are proposing a model which forecast the Load and Weather. By forecasting production of electricity and consumption of electricity we effectively control the microgrid system and also can store it in batteries. Based on forecasted data, we can analyze the Battery storage system and we can minimize the cost of maintaining it.

 

In this system, we are having 6 nodes with different value of nodes and all the nodes connected to the main server. Within sever system, we are running machine learning algorithms to forecast the weather and load. Each node contains NodeMCU, Current sensor, voltage sensor and various loads. Here, Raspberry pi act as server system which portable and power efficient.

Proposed System:

 

Proposed system forecasts the load and weather using SVM algorithm based on stored data from various nodes. Every node contains Current sensor, voltage sensor, Node MCU as a controller and loads with different values. Each node sends their values to server through local network.



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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.