Idea - FICS

Forecasting Power Generation

Team and Contact Details

Student Name School Degree Year Email
Ahmed SaeedMCEUndergraduateFourth[email protected]
Fawad KhanMCEUndergraduateFourth[email protected]
Muhammad AdamMCEUndergraduateFourth[email protected]
Saif UllahMCEUndergraduateFourth[email protected]
Hisham AbrarMCEUndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

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)