An approach, for calendaring event proximity conflict identification. An event conflict identifier receives an instruction to add a second calendar event to a user calendar. The event conflict identifier, identifies location proximity conflicts based on searching calendar metadata associated with the user calendar, where the calendar metadata includes first geographic locations associated with first calendar events. The event conflict identifier responds by creating event conflict alerts including conflict resolution action options associated with the location proximity conflicts respectively and outputting the event conflict alerts.

Various systems and methods for providing a meeting attendance tracking system are provided herein. A meeting attendance tracking system includes an indoor positioning service coupled to a plurality of radio transmitters, and operable to determine a location of a user device, the user device associated with a user, the location of the user device corresponding with a location of the user; a database interface to: access a database of scheduled events for the user; and determine a current event from the database of scheduled events, the current event corresponding with a current time and date; and a scheduler coupled to the indoor positioning service and the database interface, to: determine that the location of the user device does not correspond with a location of the current event; determine whether the user is attending a conflicting event; and provide a notification to the user or a meeting organizer regarding the current event.

A railroad personnel scheduling and management system is disclosed. The system may include a personnel database storing qualification data associated with a plurality of railroad personnel and a controller comprising a personnel management module and a communication module. The controller may be configured to receive railroad asset data and personnel location data via the communication module and select a primary personnel from the plurality of railroad personnel in conjunction with the personnel management module and based on the qualification data, the railroad asset data, and the personnel location data. The controller may also be configured to generate a dispatch signal based on the railroad asset data and communicate the dispatch signal to the primary personnel via the communication module.

Systems and methods for predicting forward market pricing for renewable energy credit based on human behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market where the forecast is based at least in part on a human behavior information collected from at least one human behavioral data source. The example system may further include wherein the energy credit includes a renewable energy credit associated with a renewable energy system, and a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price of the energy credit.

A scent delivery system includes scent delivery units that are configured to deliver scent at a variable scent level by being turned on and off successively according to a variable duty cycle. The scent delivery system also includes a central controller configured to control the scent delivery units by generating command data based on a scenting schedule that indicates a desired activation time for more than one scent delivery unit. The scenting schedule is configured to further indicate a scent level bias to be applied to base scent settings that are associated with different scent delivery units. The central controller is configured to generate the command data, based upon a variation in the scent level bias, that takes into account a corresponding variation to duty cycles associated with different scent delivery units and to communicate the command data to the different scent delivery units.

A system and method for document transformation and recordation is provided. Documents for a transaction of real property are identified based on a jurisdiction in which the real property is located. Each document includes a plurality of data fields and each data field is associated with a data field identifier. A data value is received in at least one of the data fields of one or more of the documents. The data fields in the documents associated with the data field identifiers that match the data field identifiers of the data fields in which the data values are received are identified. The identified data fields are automatically populated with the data values based on the data field identifiers associated with the data values. A completeness rule is applied to the documents by verifying whether all required documents for completing the transaction in the jurisdiction are satisfied by the documents.

Embodiments are directed towards generating and managing schedules. In at least one of the various embodiments, these schedules may be configured to schedule team members, rotating which team member is active (“on-call”). In at least one of the various embodiments, these may be employed to determine which resource is responsible to respond and/or resolve incidents that may be reported and/or detected. In at least one of the various embodiments, if a team member is determined to be the on-call or responsible team member, the notification engine may determine the methods for notify the responsible of the incidents. Schedules previews may be updated in real-time as the schedule is edited.

A charging and discharging scheduling method for electric vehicles in microgrid under time-of-use price includes: determining the system structure of the microgrid and the characters of each unit; establishing the optimal scheduling objective function of the microgrid considering the depreciation cost of the electric vehicle (EV) battery under time-of-use price; determining the constraints of each distributed generator and EV battery, and forming an optimal scheduling model of the microgrid together with the optimal scheduling objective function of the microgrid; determining the amount, starting and ending time, starting and ending charge state, and other basic calculating data of the EV accessing the microgrid under time-of-use price; determining the charge and discharge power of the EV when accessing the grid, by solving the optimal scheduling model of the microgrid with a particle swarm optimization algorithm.

A system tool that provides dispatchers in power grid control centers with a capability to manage changes. Included is a user interface and a plurality of scheduler engines. Each scheduler engine is configured to look ahead at different time frames to forecast system conditions and alter generation patterns within the different time frames. A comprehensive operating plan holds schedules generated by the plurality of scheduler engines. A relational database is coupled to the comprehensive operating plan. Input data is initially received from the relational database for each scheduling engine, and thereafter the relational database receives data from the scheduling engines relative to forecast system conditions.

Automatically collecting bin content by receiving input data comprising geographic information, a set of constraints, a first set of status parameters corresponding to each of a plurality of service vehicles, and a second set of status parameters corresponding to each of a plurality of autonomous mobile bins. The input data is used to compute a first set of schedules for each of the plurality of service vehicles and a second set of schedules for each of the plurality of autonomous mobile bins. The first set of schedules and the second set of schedules together specify at least one meeting point at a meeting time between a service vehicle of the plurality of service vehicles and at least one bin of the plurality of autonomous mobile bins.