guangyuzhang
commented
1 year ago The analytics in the platform must be able to provide multi-factor linear regression to consumption. The regression must be updated with the latest 12 months data once sufficient data is stored in MyEMS. 平台中的分析必须能够为消费提供多因素线性回归。一旦在 MyEMS系统中存储了足够的数据， 必须使用最新的 12 个月数据更新回归。
MyEMS shall provide regression analytics for data with multiple factors which suit the need to provide normalization of electrical energy, thermal energy and water consumption. MyEMS应为具有多种因素的数据提供回归分析，以适应提供电能、热能和水消耗标准 化的需要。
The regression for monthly consumption prediction will be created by Utility Record and Occupancy Record during the start of the project. It will then automatically update with the latest 12 months. 每月消耗预测的回归将在项目开始期间由水电成本记录和占用记录创建。然后它将自动更 新最近的 12 个月。
The regression for daily consumption prediction will be created when there are 30 days of data stored at the MyEMS. It will then automatically update at the end of each day with the latest 30 days of data. 当MyEMS存储 30 天的数据时，将创建每日消费预测的回归。然后，它将在每天结束 时使用最近 30 天的数据自动更新。
Consumption prediction will be conducted by using regression results with the input of the current variable, including but not limited to, ambient temperature, cooling degree days, and occupancy of the building. 消耗预测将使用回归结果和当前变量的输入进行，包括但不限于环境温度、冷却度天数和 建筑物的占用率。