Implementations of the disclosed subject matter may provide a method of retrieving a data record including historic utility bill statements of a customer, determining a historic energy usage rate of the customer based on the retrieved data record, and determining whether the customer is eligible to subscribe to a community solar energy generating system based on geographic location of the community solar energy generating system, the determined historic energy usage rate of the customer, and the customer's geographic location. The method may determine an allocation of energy produced by the community solar energy generating system when the eligible customer is enrolled in a subscription to the community solar energy generating system. The method may generate a customer data record for the user based on credits for the allocation of energy of the community solar energy generating system and receiving energy from another energy generating system.

A method of estimating a number of persons gathering at an Area of Interest for attending a public happening during a time interval on a day is proposed. Said Area of Interest is defined by an Area of Interest center and an Area of Interest radius and is covered by a mobile telecommunication network having a plurality of communication stations each of which adapted to manage communications of user equipment in one or more served areas in which the mobile telecommunication network is subdivided.

Methods, systems, and non-transitory computer readable storage media are disclosed for generating region-based metrics for provider devices based on movement of provider devices through various regions and transportation requests within the various regions. For example, the disclosed system provides an accumulating regional metric map including one or more regions with pins indicating corresponding region-based metrics to a provider device. The disclosed system can then determine whether the provider device passes through (or otherwise enters) a region with a pin and determine the corresponding region-based metric of the region for the provider device. In response to generating a transportation match between the provider device and a requester device, the disclosed system can provide a notification of the region-based metric to the provider device in connection with the transportation match. The disclosed system can apply the region-based metric upon completion of a transportation request associated with the transportation match.

Systems and methods for optimizing application experiences on devices in an enterprise while maintaining privacy compliance are provided. An enterprise model management service of the enterprise accesses, from a centralized software service, a model comprising one or more rules to be applied to an application. The model is provided to devices of a first cohort, whereby a rule of the model causes an action associated with the application to occur at each device. User metrics associated with the action at each device of the first cohort is aggregated. The user metrics indicate a result of the action at each device. The aggregated user metrics are analyzed, whereby the analyzing includes determining a second cohort at the enterprise. The model is then provided to devices of at least a portion of the second cohort. No user metrics are returned to the centralized software service thus maintaining privacy compliance.

An online concierge system allocates shoppers to different geographic regions at different times to fulfill orders received from users. The online concierge system uses different methods for adjusting allocation of shoppers to geographic regions, such as obtaining new shoppers or providing incentives to additional shoppers, based on estimated numbers of orders identifying different geographic regions. To account for costs to the online concierge system for allocating shoppers to geographic regions, the online concierge system trains multiple machine learned models to predict different efficiency metrics for methods for adjusting shopper allocation. Discrete samples are obtained from each efficiency metric, and samples that do not satisfy one or more constraints removed. From the remaining samples, a combination of samples for different methods for adjusting shopper allocation is selected to optimize a value to the online concierge system based on one or more criteria.

Apparatus and methods related providing city services, such as parking, are described. Methods and apparatus for providing parking rewards programs are described. The methods and apparatus can include maintaining accounts for participants in the rewards program, tracking purchases of parking and other participant activities and determining parking awards based upon the activities. The parking rewards programs can be used to incentivize behaviors that balance the use of the parking space commodity according to the needs of different stakeholders, such as the city, residents, merchants and visitors. For example, parking awards and the criteria used for earning awards can be used to encourage particular behaviors while a parking space is being utilized, such as shopping, the use of public transportation or efficient trip planning.

A method for providing on-demand service information is provided. One or more processors determine, for a given geographic region, position information for each of a plurality of requesters for an on-demand service and position information for each of a plurality of service providers that can provide the on-demand service. A plurality of sub-regions is identified for the given geographic region. Based, at least in part, on the position information of the requesters and the service providers, one or more sub-regions are determined as being under-supplied by the plurality of service providers as compared to one or more other sub-regions. Information identifying the under-supplied sub-regions are provided to one or more service provider devices.

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.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

A passenger's activity at the normal entry and exit points to the transit system may be recorded and linked, using a transit ticking system, along with the passenger's transit time and onward travel mode (bike hire, taxi, etc.). These records can be linked to other parameters such as the time, day of the week, season of the year, weather, and/or other such parameters. Furthermore, the passenger may use the transit ticketing system to make onward travel reservations such a bike hire or taxi. Such reservations will also be linked with the entry and exit and other parameters. The passenger's entry and exit on subsequent visits may be recorded and aggregated with past travel parameters. Thus, when a user enters the transit system, the records for that user can be used to predict how long they may be in transit, where they may exit the transit system, and what type of onward travel they may use.