Take a look at our projects

Power Sector

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Reducing Weighted Average Cost of Generation (WACG) by using Time-of-Use (ToU) Pricing

Pakistan's electricity sector faces surplus generation capacity, leading to high costs and circular debt due to capacity payments. A dynamic Time-of-Use (ToU) pricing tool was developed to incentivize off-peak electricity usage, lowering costs for consumers and improving the power sector's load factor. Shifting peak demand to off-peak times reduces emissions, circular debt, and overall costs, supporting national economic and environmental goals.

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Short Term Load Forecasting Tool

Short-Term Load Forecasting (STLF) is essential for energy market management, using statistical and AI-based methods like regression, neural networks, and stochastic time series. A hybrid model is ideal for accurate predictions. LUMS developed an STLF tool for Pakistan's power system, incorporating historical data, weather, and manual inputs. Current testing shows a Mean Absolute Percentage Error (MAPE) of 7% to 1%, expected to improve with additional inputs.

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Pakistan Electricity Outlook

The report from LEI evaluates Pakistan's power system using an independent dispatch model, analysing the IGCEP 2021 over a nine-year period. It covers capacity and energy balance, fuel dispatch, and cost impacts while presenting nine alternative scenarios. The summary offers key insights but encourages a full review for a comprehensive understanding.

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Pakistan Residential Energy Consumption Dataset (PRECON)

The LUMS Energy Institute's PRECON project, is the first in Pakistan to gather detailed, appliance-level electricity data from 42 households in Lahore. This dataset, with one-minute granularity, is vital for understanding energy demand and supporting energy optimization efforts. It also has implications for energy policies in regions like Northern India with similar conditions.

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Enabling Municipalities to Harness Digital Energy Data

The project aimed to enhance energy efficiency in government buildings across Pakistani municipalities by installing high-resolution energy monitoring systems with one-minute precision. The collected data was used for detailed audits to identify inefficiencies and develop improvement strategies. The initiative also provided extensive training on energy management and developed policy recommendations to promote sustainable practices and reduce overall consumption in the public sector.