BR100 Increased By (0.36%)
BR30 Decreased By (-0.13%)
KSE100 Increased By (0.22%)
KSE30 Increased By (0.37%)
AGHA 6.68 Increased By ▲ 0.01 (0.15%)
BECO 4.37 No Change ▼ 0.00 (0%)
BML 57.32 Increased By ▲ 0.88 (1.56%)
BOP 30.35 Increased By ▲ 0.01 (0.03%)
CNERGY 13.12 Increased By ▲ 0.03 (0.23%)
CSIL 5.41 Increased By ▲ 0.05 (0.93%)
FCCL 52.79 Increased By ▲ 0.41 (0.78%)
FFL 14.72 Decreased By ▼ -0.02 (-0.14%)
FNEL 1.12 No Change ▼ 0.00 (0%)
KEL 6.09 No Change ▼ 0.00 (0%)
KOSM 5.73 Increased By ▲ 0.77 (15.52%)
LOTCHEM 26.46 Decreased By ▼ -0.89 (-3.25%)
MLCF 93.16 Increased By ▲ 0.41 (0.44%)
NBP 164.66 Decreased By ▼ -0.32 (-0.19%)
NCPL 55.66 Increased By ▲ 0.02 (0.04%)
NPL 61.16 Decreased By ▼ -0.10 (-0.16%)
OGDC 316.73 Decreased By ▼ -1.03 (-0.32%)
PACE 9.87 Decreased By ▼ -0.06 (-0.6%)
PAEL 35.63 Increased By ▲ 0.13 (0.37%)
PIBTL 14.68 Increased By ▲ 0.11 (0.75%)
PPL 226.91 Decreased By ▼ -0.88 (-0.39%)
PRL 93.02 Increased By ▲ 0.45 (0.49%)
PTC 60.26 Decreased By ▼ -0.37 (-0.61%)
SSGC 23.81 Increased By ▲ 0.01 (0.04%)
TBL 8.75 Increased By ▲ 0.07 (0.81%)
TELE 7.80 Increased By ▲ 0.02 (0.26%)
TPL 22.35 Increased By ▲ 0.12 (0.54%)
TPLP 12.97 Increased By ▲ 0.30 (2.37%)
TREET 22.16 Decreased By ▼ -0.38 (-1.69%)
TRG 56.56 Decreased By ▼ -1.24 (-2.15%)
Markets Print edition: 2025-06-13

KE concludes EPIC 2025

Published Updated

KARACHI: Committed to promoting localisation and innovation in the energy sector, K-Electric (KE) on Wednesday concluded the Grand Finale of the Energy Progress & Innovation Challenge (EPIC) 2025.

After a rigorous screening and pitching process, the top three projects were selected out of 10 and were awarded Rs 1.5 million, Rs 1 million, and Rs 750,000, respectively.

The first prize was awarded to a team from NUST for their innovative tamper-proof PMT-based load shedding solution. The team was led by Abdul Hadi and Syed Abdul Haseeb Ali, while the second position was secured by Government College University Faisalabad’s team led by Dr Abdul Rauf Bhatti and Tallataf Rasheed for their automation of demand forecasting using artificial neural networks. The third place went to NED University’s team comprising of Shariq Shaikh, Sohaibuddin, M. Waleed, Mubashir Ali, for developing an optimised AI model for accurate electricity demand forecasting.

Copyright Business Recorder, 2025

Comments

Comments are closed for this article.