Smart Home Energy Scheduling Using Demand Side Management Programs

Abstract

Saudi Arabian decision-makers are seeking innovative and cost-effective solutions to meet the country’s power needs, understanding that it is impractical to continue in the existing scenario of high demand rise and low energy consciousness. One pretty powerful collection of technologies in the forthcoming inventory of electricity generation is demand side management (DSM), which comprises demand response (DR), energy efficiency (EE), and load management. Many electric companies have implemented DSM to flatten the load profile by altering the rate during the day to encourage citizens to minimize their electricity consumption during peak hours. In this project, DSM technologies are implemented. Based on pricing signals forecasted by a recurrent neural network model, the DR system adjusts loads from peak to off-peak hours. It was able to minimize the electricity bill for the householder. Furthermore, the EE system consists of an air conditioning (AC) system and a lighting system was implemented to reduce power consumption. The energy saved from the AC system is around 7.8% for a typical year for a typical villa in Al-Ahsa in the case of over insulation. Also, the lighting system saved around 25.1% of the energy consumption.