Building Forecast Data 

 Integration with 3rd party data sources

 Data Scraping Live and Archived data

 Real-time Data Forecasting 

 Graphical representation of Data

 Dynamic Interactive Graphs & Charts

 Dynamic Forecasting Process

 Client-Specific Peak Load Alerts

"AKRATECH was able to help my startup to build an MVP very quickly and they helped me to turn that into my first product which looks quite well. They have a group of professionals and they work with you to deliver the best result. I have been able to go to them for different front and back end designs, demos, and cloud maintenance. They work with you to build everything exactly as you want with high quality. I will continue working with them for the next phases of my product."
Aida Ahmadzadegan-Shapiro
Founder & CEO | ForeQast Technologies


Forecast Application

Application has been built with Interactive Graphs & Charts and insights about power generation and balancing authorities’ operation which has been “Built to simulate and forecast power markets". The application aims to provide more accurate forecasting of generation, load, and trade of power requirements.

The application has built-in scrapers which automates data crawling to leverage the power of quantum computing and AI. The forecasts were 25% more accurate than existing predictions.

Interactive charts

An online service that provides highly accurate load forecasts over different periods of time. It uses a combination of advanced modeling techniques and data from major vendors to create precise forecasts.

The service is designed to help various users, including system operators, schedulers, and planners, make informed decisions. This is particularly useful for those who want to track their usage and plan accordingly to save money. You can monitor your consumption patterns over time and optimize your usage to reduce costs and improve efficiency.

Comparative Charts

Online services that generate forecasts at defined custom time intervals for ISOs/power markets in North America and selected continental Europe. 

The forecasting engine comprises an ensemble of intelligent system-based models that use advanced technologies to generate highly accurate forecasts. The data used in generating these forecasts is obtained from four major weather vendors.

We have designed wireframes, and algorithms for application build-up. As we followed the Agile process we divided application into multiple sprints .

Looking at the application requirement we categorized the sprint into 4 phases– Front End – we designed the application  UX in Figma and handover to the front end team– Database – As this application holds millions of data plots. so, we scrapped required and essential data for database design purposes.  Back End – As we have process and data structure in our mind at the place. we had designed multiple modules for operations, security, and application scalability .

  • Our Development Team came up with the technical architecture followed by data flow design, process flow design, flow charts, and technical documentation 
  • We used PHP Tech Stack with Application Programming Interfaces (APIs) which let “Plug in” to other Useful Features. Through our highly skilled and certified developers, we developed custom solutions and technical services on a wide range of requirements and thereby exceeding the client’s expectations. This has all been achieved through our efficient coding best practices, development processes, implementation guidelines, technical maturity & end to end delivery.

We performed a comprehensive test strategy since Mobile technology stack undergoes constant changes due to upgrades in web and mobile technologies. Our testing included exhaustive functional and non-functional testing, manual and automation testing besides performance and security testing. Our automated Testing and Performance Analysis ensured cross device testing and made the testing process quick, efficient, reliable, repeatable and reusable.

Comprehensive mobile testing coverage included  the following:

  • Functional testing based on various use case scenarios
  • Cross Device Testing across various mobile devices 
  • Non-functional testing: Performance, stability, security and compliance
  • Usability and compatibility testing