Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system

Abstract

As smartphones become increasingly powerful and ubiquitous, integrating them into intelligent lighting systems can boost both convenience and energy efficiency. This paper presents an intelligent lighting system prototype with enhanced security features for smart homes. The custom-built Android mobile application made use of the onboard ambient light sensor to run a novel closed-loop feedback algorithm to implement daylight harvesting. A cost analysis shows that the whole system setup is slightly cheaper than commercial products and due to its daylight harvesting capabilities, has potential for monetary savings in the long run, outperforming current commercial products.

Automated Energy Scheduling Algorithms for Residential Demand Response Systems

“…In the proposed algorithm, the following steps are conducted iteratively (Lines 1∼9 in Algorithm 3). First, findα a andβ a that have higher probabilities than Γ (Lines 2 and 3 in Algorithm 3).α a can be found by Equation (19).…”

“…Finally, estimate the preferred starting time and preferred ending time asα a = 6 and β a = 18, respectively. Updateα a by Equation (19) Updateβ a by Equation (20) 4:…”

“…In particular, smartphones are an attractive control and monitoring tool for energy scheduling in a smart grid. In addition, smart appliances are evolving into intelligent functions that can be operated through smartphones [17][18][19]. By using smartphones and smart appliances, the customer can easily adjust their energy schedule and monitor their electricity usage.…”

The Determination of Load Profiles and Power Consumptions of Home Appliances

“…It is the opinion that dwelling comfort may be reduced and energy consumption habits are the biggest obstacle for the implementation of demand respond programs at homes [12]. However, intelligent home energy management systems have gained popularity in recent years with the aim of enhancing the dwelling comfort in parallel with the advances in information and internet technologies [13,14]. Therefore, home energy management studies play a crucial role in enabling demand response programs to be used effectively in residences [15].…”

IoT-Based Smart Building Environment Service for Occupants’ Thermal Comfort

“…This connectivity is formed by a physical and cybernetic linkage with the help of the sensing and communication technologies. These technologies make direct interactions among people, objects, and services that improve the productivity, efficiency, convenience, and security of our society [1]. The Internet of Things (IoT), big data, cloud computing, digital platforms, machine-to-machine (M2M) communication, artificial intelligence (AI), and machine learning are emerging technologies that support a hyperconnected society [2].…”