Senior year project at LUMS under the supervision of Dr. Ayesha Ali 2024 - 2025
- Ashir Habib 25020214
- Ayleen Naushahi 25020435
- Muhammad Ersum Ali 25020332
- Muhammad Sher Alam Bhatti 25020436
Chapter 1 examines solar energy adoption patterns across Pakistani districts by analyzing data from the 2023 Digital Census and satellite nightlight imagery. This chapter investigates how socio-economic factors, access to grid electricity, and regional differences influence solar uptake using statistical and machine learning models.
Chapter 2 focuses on household-level solar net metering behavior in Lahore and neighboring districts, including Kasur, Nankana Sahib, Okara, and Sheikhupura, using monthly data provided by Lahore Electric Supply Company (LESCO). It evaluates the effects of policy changes in net metering buyback rates from 2022 to 2025 on consumer solar usage and adoption.
Chapter 3 integrates the findings from the previous two chapters to explore the relationship between district-level solar adoption trends and household responses to net metering policies. It presents a summary of the key findings, discusses limitations, and outlines directions for future research to support Pakistan’s transition to sustainable energy. This synthesis provides a holistic view of solar energy uptake and informs targeted policy recommendations.
- Digital Pakistani Census 2023
- Household Integrated Economic Survey (HIES)
- Crops Area and Production Report 2022 - 2023
- National Oceanic and Atmospheric Administration’s (NOAA)
- Global Nighttime Lights dataset
- World Bank’s 2018 Electricity Transmission Network for Pakistan
- LESCO green licensing dataset (private)
- Location data from google maps
- Average property prices from Zameen.com