Abstract: The present disclosure provides a charging system, charging method, and charging control device. The charging system comprises a charger configured to be coupled to an external power source with its one end; a plurality of secondary batteries configured to be coupled to the charger, respectively; and a control device configured to be coupled to the charger and the plurality of secondary batteries, to control the charger to perform a charging operation on the plurality of secondary battery. According to the present disclosure, the secondary batteries having harmonics with identical frequencies and opposite phases are connected in parallel for charging, to reduce or eliminate the harmonic distortion generated by high order harmonics, and effectively reduce the value of THD.

Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the type attribute.

Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the tune attribute.

Abstract: The present invention relates to a method and apparatus for controlling a wind turbine. The method includes: dividing a plurality of wind turbines into at least one group based on a similarity in status information of the plurality of wind turbines; in response to having detected a fault in a first wind turbine of the plurality of wind turbines, searching a group to which the first wind turbine belongs for a second wind turbine matching status information of the first wind turbine; and controlling the first wind turbine based on parameters from the second wind turbine.

Abstract: A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

Abstract: A system for adjusting a representation of a merchandise hierarchy associated with an entity such as a retailer or wholesaler of products. Product correlation information discovered in that entity's customers' shopping records are obtained and incorporated into an existing merchandise hierarchy with a constraint on the consistency with the existing hierarchy.

Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.

Abstract: A computer searching technique identifies high quantitative patterns in data. A spatial indexing technique, such as an R-tree is used to represent the data. Then a pattern searching algorithm is used to identify anchor points that define the componentwise minimum patterns. High quantitative patterns are found responsive to the componentwise minimum patterns. The search strategy is demonstrated relevant to the problem of finding suitable locations for a retail business with reference to environments of prior successful retail businesses.

Abstract: A system and method for extracting a skeleton topology structure for an electric power grid, the method comprising: receiving a description of a topology sub-structure corresponding with user's need and a description of skeleton topology sub-structure extracted from the topology sub-structure; generating a first incidence matrix based on the description of the topology sub-structure and a second incidence matrix based on the description of the skeleton topology sub-structure; generating a third incidence matrix based on a primary topology structure of electric power grid; searching from the third incidence matrix a sub-matrix that matches the first incidence matrix; obtaining a fourth incidence matrix by using the second incidence matrix to transform the matching sub-matrix; and generating a skeleton topology structure corresponding to the primary topology structure based on the fourth incidence matrix.

Abstract: A method and apparatus for predicting ice coating status on transmission lines. In one embodiment of the present invention, there is provided a method for predicting ice coating status on transmission lines, including: collecting real-time meteorological data from at least one meteorological sensor; generating a meteorological element predicted value based on the real-time meteorological data, an initial field and a weather forecasting model; and obtaining a set of lines that meet ice coating conditions among the transmission lines, based on the meteorological element predicted value and attribute information of the transmission lines. In one embodiment of the present invention, there is provided an apparatus for predicting ice coating status on transmission lines.

Abstract: A data integration module is operable to integrate a plurality of data sources, a customer preference module builds a model representing preference to different channels in merchandise category for each customer segment. A customer satisfaction module creates a model representing customer satisfaction metrics. A joint multi-channel optimization module is operable to use an optimization model that utilizes the customer preference model and the customer satisfaction model and maximize retailer's profit and customer satisfaction.

Abstract: A method, and system employing the method, for service channel reconfiguration at a service outlet includes generating service transaction data of a service outlet, generating queue management system (QMS) data of the service outlet, and generating cost and profit data for the service outlet. Data is extracted from the service transaction data and the QMS data relating to specified parameters including customer experience data, and customer demand data. The service transaction data and the QMS data is integrated with the cost and profit data providing a unified objective function. Stochastic service processes and customer behavior data are modeled. The unified objective function is evaluated using the stochastic service processes and customer behavior data model, and the service channel function of the service outlet is reconfigured using the unified objective function.

Abstract: A topology structure of a power system is acquired. At least one unification set in the power system is identified based on the topology structure. Devices belonging to the same unification set have the same outage state. The at least one unification set is recorded, so as to concurrently maintain devices belonging to the same unification set. Advantageously, one or more embodiments reduce number of outages caused by power system device maintenance.

Abstract: A method and system for determining highlighting colors for topic elements in a chart. The method includes acquiring contrast elements and topic elements which need to be highlighted, acquiring colors of the contrast elements and layout information of the topic elements and the contrast elements in the chart, determining a plurality of combinatorial contrast policies for the colors of the contrast elements according to a color contrast standard, calculating weights of the combinatorial contrast policies using the layout information, and determining highlighting colors of the topic elements according to the combinatorial contrast policies and their weights. A highlighting color can be selected automatically for the information that needs attention, so that the user can determine information that should be specially noted without having professional knowledge about color, saving time and energy.

Abstract: A system for detecting conflicts between a power supply guarantee request (PSGR) and an outage request (OR) in a power grid. The system comprises: an accompanying outage analysis device for receiving a first outage device set including OR related devices, and using geographic information about devices in the power grid to determine a second outage device set, the second outage device set including devices in the first outage device set and accompanying outage devices that need to be in outage together with the devices in the first outage device set; an outage scale determination device for using topology information about the power grid to determine a power grid outage scale in which all of the devices in the second outage device set can be in outage; and a conflict detection device for receiving a power supply guarantee device set including PSGR related devices, and judging, for each device in the power supply guarantee device set, whether the device is included in the power grid outage scale.

Abstract: A method detects conflicts between a power supply guarantee request (PSGR) and an outage request (OR) in a power grid. The method comprises receiving a first outage device set including OR related devices and a power supply guarantee device set including PSGR related devices. Geographic information about devices in the power grid is used to determine a second outage device set, which includes devices in the first outage device set and accompanying outage devices that need to be in outage together with devices in the first outage device set. Power grid topology information is used to determine a power grid outage scale in which all devices in the second outage device set can be in outage. For each device in the power supply guarantee device set, the method detects whether the device is included in the power grid outage scale, to determine any conflict between the PSGR and OR.

Abstract: A system, method and computer program product for providing the ability for retailers to devise a current channel strategy (e.g., adaptive price setting) that considers competitors in a dynamic competing environment, and that enables computing a competitive advantage of a channel. To estimate a price for selling a product j in a commerce channel comprises: a) receiving, at a processor device, real market data including sales and price history data of a product j sold by one or more retailers over one or alternate sales channels t; generating, by the processor device, a competitive advantage parameter value based on the sales and price history data; and, computing, utilizing the competitive advantage parameter value, an optimum price for a particular product to be marketed in one of the one or alternate sales channel.

Abstract: A method and apparatus for checking the correctness of GIS data. The method includes the steps of: receiving GIS data; receiving business data of each branch; determining the geographic area to which each branch belongs, wherein the GIS data in the geographic area will be checked; and, checking whether the GIS data of the geographic area to which each branch belongs are correct based on the business data of each branch. The method and apparatus can automatically check geographic and demographic data of a given city or region.

Abstract: System, method and computer program product for adjusting a representation of a merchandise hierarchy associated with an entity such as a retailer or wholesaler of products. Product correlation information discovered in that entity's customers' shopping records are obtained and incorporated into an existing merchandise hierarchy with a constraint on the consistency with the existing hierarchy.

Abstract: A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the type attribute.