The Effect Of Environmental Pollutants And Temperature On Electricity Consumption (Case Study: Tehran City)

This study aims to estimate the potential impact of ambient temperature rise due to urbanization or global warming on energy consumption in Tehran. Using three-year data, the temperature dependence of the daily influences of urban temperature on the electricity consumption of Tehran daily electricity consumption and temperature data from ۳/۲۰/۲۰۲۰ to ۳/۲۰/۲۰۲۳ are analyzed to understand the variation in energy consumption and its correlation with temperature. Explores the relationship between electricity consumption and temperature by incorporating the influence of O۳ (ozone) levels using regression analysis. The aim is to understand how variations in temperature and O۳ levels affect electricity consumption. Historical data on electricity consumption, temperature, and O۳ levels are collected and analyzed through regression modeling techniques. The results reveal significant correlations between electricity consumption, temperature, and O۳ levels. The regression analysis helps quantify the impact of temperature and O۳ on electricity consumption, providing valuable insights for energy management and policy-making. By understanding the relationship between electricity consumption, temperature, and O۳, policymakers can develop strategies to optimize energy usage, mitigate environmental impact, and improve overall energy efficiency. This study highlights the importance of considering multiple variables, such as temperature and O۳, in analyzing electricity consumption patterns and devising sustainable energy management strategies.

کلیدواژه ها:

electricity consumption ، temperature ، regression analysis ، energy management ، sustainability.