Abstract:

The residential sector is a major contributor to the global energy demand. The energy demand for the residential sector is expected to increase substantially in the next few decades.

As the residential sector is responsible for almost 40% of overall electricity consumption, the demand response solution is considered the most effective and reliable solution to meet the growing energy demands.

Home energy management systems (HEMSs) help manage the electricity demand to optimize energy consumption without compromising consumer comfort.

HEMSs operate according to multiple criteria, including electricity cost, peak load reduction, consumer comfort, social welfare, environmental factors, etc.

We model this system as a virtual organization that seeks to minimize energy consumption while reaching a trade between user comfort, energy cost and limiting peak energy usage.

• To design and develop demand side management techniques for residential appliances in smart homes.
• To estimate and analyze the timing slots at which the current is being utilized.
• To aim at cost minimization load profile flattening and peak load reduction.

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