Student Name | School | Degree | Year | |
---|---|---|---|---|
Ahmed Saeed | MCE | Undergraduate | Fourth | [email protected] |
Fawad Khan | MCE | Undergraduate | Fourth | [email protected] |
Muhammad Adam | MCE | Undergraduate | Fourth | [email protected] |
Saif Ullah | MCE | Undergraduate | Fourth | [email protected] |
Hisham Abrar | MCE | Undergraduate | Fourth | [email protected] |
Inter School Idea ? | No |
Do you need expertises from another area: | No |
If Yes please provide details of expertises you need: |
Idea Name: | Forecasting Power Generation |
Slogan: | Forecasting the Future Trends in Power Generation at Malakand-III Power Plant Using AI |
Supervisor Name: | Dr. Muhammad Amjad |
Supervisor Designation: | Assistant Professor |
Supervisor School: | MCE |
Supervisor Department: | Water Resources Engineering and Management |
Contact number: | +923126307917 |
Email ID: | [email protected] |
Abstract: | |
The study intends to first analyze and simulate the historical trends and then forecast (via hydrological model- and AI-based techniques) the future trends of streamflow in Swat River with a specific focus on hydropower generation by Malakand-III Power Plant. Expected results include time series forecasts for future streamflow as well as future estimates of irrigation and hydropower potential. | |
What is the unmet need in society that your idea will fulfill ? | |
Hydropower is one of the sustainable resources for clean energy needs worldwide; Pakistan is in dire need of such solutions. Furthermore, recent impacts of climate change have intensified the need to manage the water resources to stand against hydrometeorological extremes. | |
Who needs it ? How many would benefit ? | |
Water resources of Pakistan are in distress due to increasing population, mismanagement, and climate change. R&D in the field of water resources management offers vital help to society including agriculture and food security, power supply to industries, and prevention of disaster risks. | |
How will the solution works | |
Technical working involves delineation of catchment of Swat River Basin, obtaining and pre-processing the ground-based observed precipitation, temperature, and streamflow data, downloading the historical data for these parameters from reanalysis model-based archives, hydrological model simulation, time series forecasting of streamflow using ARIMA model within the built-in packages of R, and estimating the future potential for irrigation and hydropower through diversion of Swat River water. | |
Who are your competitors ? How is your solution different | |
To our knowledge, streamflow (and, in turn, hydropower) forecasting using a combination of historical simulations and AI has not been conducted in Pakistan. Our solution is unique in the view that it offers automated coding in R to come up from raw data to streamflow forecasts. | |
Status: | new |
Entry Date & Time: | 2022-12-13 (1643) |