Planning for electricity demand is a vital as the characteristics of different electricity generation systems vary temporally – both hourlyin a day as well as seasonally in a year. Thus, this study focuses on evaluating the demand characteristic of electricity in residentialsector within urban boundaries of three districts in Kathmandu Valley. It has addressed variations in demand in form of load curvebased on hourly peak demand during a day. The demand characteristics have been affected in recent years are primarily influencedby two factors – the trade debacle in 2015 and the end of load-shedding. A typical family with owned household would have highestdemand with loads spread over various time of the day. While the one in rented family would have least demand level with mostcharacteristic peaks. But in overall, there are peculiar morning and evening peaks, in addition to small early morning peak. The currenttechnology interventions and electricity consumption pattern with reference in earlier years depicts the change in energy technologypreference. The reduction in daily demand pattern as well as total electricity demand are majorly due to replacement of oldertechnologies with more efficient appliances as well as reduced use of inverters for battery charging. Thus, it can be said that a stringentcondition can enforce people to change to efficient technologies as well as proper supply can reduce unnecessary demand in batterycharging. On other hand, similar trend, and hence the increase in electricity demand, can be anticipated in other flourishing urbanareas of the country. Additionally, it is beneficial to have the demand characteristics of each sector separately - which can be usefulto design the decentralized systems for specific sector.
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