Abstract: An inventory demand forecasting system comprises a storage and a processor. The storage stores a plurality of material information, an inventory turnover ratio and a service level ratio. The processor configures a demand satisfaction range according to the inventory turnover ratio and the service level ratio. The processor calculates a plurality of best material points corresponding to the material information respectively. The processor adds the best material points located in the demand satisfaction range to a first stock group and adds the best material points located out of the demand satisfaction range to a second stock group.

Abstract: An apparatus, a method, and a non-transitory computer readable storage medium thereof for recommending an electricity consumption behavior are provided. The apparatus is stored with an appliance efficiency value and an electricity-consuming parameter value for each of a plurality of users. The apparatus generates a plurality of first temporary values by multiplying each of the appliance efficiency values with each of the electricity-consuming parameters, generates a power saving matrix by subtracting each of the electricity-consuming parameters from each of the electricity-consuming parameters individually, generates a changing willingness matrix by the second temporary values, calculates a transform probability matrix by the power saving matrix and the changing willingness matrix, calculates an eigenvalue and an eigenvector of the transform probability matrix, and recommends an electricity consumption behavior according to the eigenvalue and the eigenvector.

Abstract: A combination selecting method comprises the following steps: firstly, selecting a fixed number of sources from a plurality of the sources to generate a plurality of predictive combinations; next, filtering the predictive combinations by a parameter to generate a group associating with the predictive combinations satisfied by the parameter; then, altering a part of the sources of each predictive combination to generate a new predictive combination correspondingly from each predictive combination, and filtering the new predictive combinations by the parameter to add into the group; finally, repeating performing the previous step until the total number of all predictive combinations achieves a goal.

Abstract: An apparatus, a method, and a non-transitory computer readable storage medium thereof for recommending an electricity consumption behavior are provided. The apparatus is stored with an appliance efficiency value and an electricity-consuming parameter value for each of a plurality of users. The apparatus generates a plurality of first temporary values by multiplying each of the appliance efficiency values with each of the electricity-consuming parameters, generates a power saving matrix by subtracting each of the electricity-consuming parameters from each of the electricity-consuming parameters individually, generates a changing willingness matrix by the second temporary values, calculates a transform probability matrix by the power saving matrix and the changing willingness matrix, calculates an eigenvalue and an eigenvector of the transform probability matrix, and recommends an electricity consumption behavior according to the eigenvalue and the eigenvector.

Abstract: An apparatus and method for creating a power consumption model and a non-transitory computer readable storage medium thereof are provided. The apparatus is stored with a power consumption datum for each of a target user and a plurality of users. The apparatus selects several users as a group, uses the power consumption data of the users in the group to create a predicted model, calculates a predicted power consumption value for the target user, calculates a difference according to the predicted power consumption value and a real power consumption value, and repeats the aforementioned operations until a criterion has been satisfied. The apparatus selects the groups whose corresponding difference is smaller than a predetermined value and creates a power consumption model by the power consumption data of the users that appear more than one time and the power consumption data of the target user.

Abstract: A method for deploying at least one climate sensor in an indoor space includes: several candidate deploy points in the indoor space are obtained. Climate properties at the candidate deploy points are obtained. Deploy-point-number limit is obtained. Available deploy point sets, which conform to the deploy-point-number limit, are generated according to the candidate deploy points. Climate-property differences of the available deploy point sets are calculated according to the climate properties at the candidate deploy points. The climate-property differences of the available deploy point sets are differences between the climate properties at the available deploy point sets and those at the candidate deploy points. A target deploy point set, climate-property difference of which is the least among those of the available deploy point sets, is selected from the available deploy point sets. At least one first climate sensor is deployed at the target deploy point of the target deploy point set.

Abstract: An electricity feature identification device and a method thereof are provided. The device comprises a receiver, a storage, and a processor. The receiver is configured to receive an electricity signal continually. The processor is electrically connected to the storage and the receiver, and configured to sample the electricity signal to obtain a piece of testing electricity information, and store the testing electricity information in the storage. The processor is also configured to sample the electricity signal every sampling interval to individually obtain a piece of reference electricity information until the number of the reference electricity information is equal to a preset sample amount, and store the reference electricity information in the storage. Finally, the processor is configured to compute a statistical feature of the reference electricity information, and compare the testing electricity information with the statistical feature to obtain a comparison result.

Abstract: A controlling method and a controlling system for saving energy of a building are provided. In the present method, a user environment requirement is obtained first. Then, a plurality of cover ratios of a sunshade device on an opening of a building is defined, and according to an environment parameter and the user environment requirement, a total electricity consumption required by air conditioning equipment and by lighting equipment in the building corresponding to each of the cover ratios is calculated. Finally, a cover ratio that produces the minimum total electricity consumption is obtained, and the sunshade device, the air conditioning equipment and the lighting equipment are adjusted according to the obtained cover ratio, so as to make the building meet the user environment requirement and maintain a status of the minimum total energy consumption.

Abstract: A method for deploying at least one climate sensor in an indoor space includes: several candidate deploy points in the indoor space are obtained. Climate properties at the candidate deploy points are obtained. Deploy-point-number limit is obtained. Available deploy point sets, which conform to the deploy-point-number limit, are generated according to the candidate deploy points. Climate-property differences of the available deploy point sets are calculated according to the climate properties at the candidate deploy points. The climate-property differences of the available deploy point sets are differences between the climate properties at the available deploy point sets and those at the candidate deploy points. A target deploy point set, climate-property difference of which is the least among those of the available deploy point sets, is selected from the available deploy point sets. At least one first climate sensor is deployed at the target deploy point of the target deploy point set.

Abstract: A controlling method and a controlling system for saving energy of a building are provided. In the present method, a user environment requirement is obtained first. Then, a plurality of cover ratios of a sunshade device on an opening of a building is defined, and according to an environment parameter and the user environment requirement, a total electricity consumption required by air conditioning equipment and by lighting equipment in the building corresponding to each of the cover ratios is calculated. Finally, a cover ratio that produces the minimum total electricity consumption is obtained, and the sunshade device, the air conditioning equipment and the lighting equipment are adjusted according to the obtained cover ratio, so as to make the building meet the user environment requirement and maintain a status of the minimum total energy consumption.