## 2 Experimental Section
According to this algorithm, data demands are determined and queried through the query interface discussed previously. All procedures are defined as a federated discovery service, according to the EPC global architectural framework. When all of the data has been synchronized, the amount of energy saved can be determined and reported using a declare schema. As illustrated at the top of Figure 2, the standards declare schema exports energy savings through the Internet. Appropriately qualified personnel can access the data and identify the energy savings. Figure 2 shows the information structure of the sensor network, the key block diagram shows the calculation of energy savings. The algorithm is detailed in Figure 3.  
The sensor platform determines the energy savings, this study's Idea using combination of the four options of IPMVP. As the first step, facility data is input as the basis for determining the energy savings for the entire facility. Then, using options A/B, digital power meters are used to determine the savings  
Figure 3: Algorithm for the sensor platform to determine the amount of energy saved. (e.g., measure electricity consumption and the energy saving coefficient of an air conditioner), by field measurement of the energy used by the system with energy conservation measures. The detected amount of energy used is checked against the electricity bill. If these do not correspond, the meters are calibrated to ensure that they give accurate data. As shown in Figure 3, option A/B only shows the savings on the equipment side. The sensor platform with an architectural framework can integrate all of the data to determine the energy use for the entire facility. As indicated in Figure 3, the digital power meter readings and information from electricity billing system are checked and combined as a single result. Using option C, a baseline for the entire facility is constructed. In contrast to option C, the sensor platform not only analyzes power use data, but also uses the distributed sensors to simulate the entire facility. Multiple sensor inputs simulate the effect of a multifaceted energy management program on many systems in a facility. The simulation procedures are those of option D, but sensor data is used instead of a mathematical model. The occupancy information for the entire facility is obtained from other information systems or databases, such as an \"Attendance System\" or a \"Sign-in System\". The power meter readings, multiple sensor inputs and occupancy conditions are synchronized to determine the energy savings, in accordance with the following equation:  
\[ \begin{array}{l}\text{Savings = Baseline energy from a hypothetical model [without energy savings]}\\ \text{- Reporting-period energy from measured data [with savings]}\end{array}  \tag{1}\]  
The energy savings determined by Equation (1) depend entirely on the measured data. Even for baseline energy, the hypothetical model uses multiple sensor inputs, but infers the energy consumption without energy conservation measures from the sensing data. This algorithm is the key function of the block diagram--calculating energy savings, as shown in Figure 2. In order to illustrate the operation of the algorithm, a real case is presented. The platform was used to monitor a building with a newly built vertical garden system and the energy savings were determined using the sensor platform. The following section describes the energy conservation project. As well as the power meter and sensor data, the occupancy information is also collected by the sensor platform.