Smart Energy Management and Scheduling using Internet of Things

Objectives: Increasing energy usage will affect the sustainability due to the presence of elevated level of greenhouse gases. The primary aim of energy management is to ensure optimum energy utilization, thereby minimizing energy costs and extenuating environmental effects. Real time energy monitoring and management assist consumers to overcome the burden of load shedding, energy surcharges and dependence on secondary energy sources like generators and inverters in residential buildings. Methods: A low cost, advanced embedded hardware with ethernet communication, i.e Arduino Mega 2560 and smartphone with cloud computing technologies are used to develop a prototype model. It will provide optimal solutions to the consumer for real time monitoring of energy for self regulation as well as to choose the energy provider for competitive energy price. A joint scheduling of electric supply and demand of consumer through Internet of Things (IoT) based smart energy management system on interruptible and shiftable load is proposed. Findings: The energy provider needs to regulate the energy usage during peak hours to manage massive energy demand of individual customer or on the whole. This also can be used to prevent the problem of overload on residential generator power supply system and subsequent damage to it. Application/Improvement: Low cost, scalable proposed system regulates the peak load by means of load sharing at lower production cost with maximum service utilization is achieved.