Internet of things (IoT) makes every object have a representation in the virtual world that allows us to monitor and control them in the cyberspace. Monitoring of environmental conditions, rooms, and air conditioner controls can be used to find out and develop indoor room control strategies to be more efficient and comfortable for occupants. However, environmental conditions affect the dynamics of the system and its controller functions. This paper proposed a new approach to control room temperature through the control of the AC compressor duty cycle using IoT. Hybrid Fuzzy-PID (Proportional-Integral-Derivative) as a control algorithm that is embedded on the IoT platform. The algorithm determines optimal PID control parameters and adjusts them according to environmental conditions. Intelligent control proposed is applied to save energy and regulate the comfort of the room for residents. Finally, the Hybrid Fuzzy-PID and IoT approach allow us to achieve 50% energy savings in comfort that can be tolerated by occupants of the room.

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The effort to reduce the mass energy usage without involvement of consumers is not effective. Thereby, creating a pathway for anyone of consumer to be much more involved in the energy-saving effort. The implementation of disaggregation algorithm in the analysis of energy consumption is to recognize when and which appliance has the largest energy consumption and being able to control the state of all appliances from anywhere. In this research, the principle of disaggregation is event-based and low-sampling data frequency. A KWH-meter is used to send power data to the cloud server via MQTT protocol. The cloud server gathers the energy-consumption data, analyses them and then disaggregates them. The output of the disaggregation algorithm would tell the state (on/off), the average power and the percentage of energy consumed by each appliances. The output will then be sent from the cloud server to Android Apps via MQTT protocol. Then the consumer can easily access and control the energy consumption from their smartphone after knowing it through the disaggregation algorithm.