Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.

Abstract: The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

Abstract: A power management method includes a step A of specifying an influence of a distributed power supply on a power demand-supply balance by a power management server, the power management server managing a plurality of facilities and the distributed power supply being individually provided in each of the plurality of facilities; and a step B of transmitting distributed power supply information from a local control apparatus to the power management server, the local control apparatus being individually provided in each of the plurality of facilities and the distributed power supply information including information indicating an operation state of the distributed power supply, wherein the step A includes a step of specifying the influence on the power demand-supply-demand balance based on the distributed power supply information.

Abstract: In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations.

Abstract: Method includes recording biomarker information being indicative of at least one biological state of user remaining in lighting control environment over time frame, biomarker information being generated by at least one physiological sensor remaining with user in lighting control environment over time frame; recording light control settings for at least one light remaining in lighting control environment with user and with physiological sensor generating biomarker information over time frame; and training a neural network to determine correlations between biological state of user remaining in lighting control environment over time frame and lighting effects caused by at least one light remaining in lighting control environment with user over time frame, based on recordings of biomarker information and recordings of light control settings, and utilizing the correlations for controlling the at least one light. Computer readable medium for executing method.

Abstract: The present invention provides a method for determining consumption of appliances within a surveyed household in which there are no sensors for measuring consumption of specific appliances.

Abstract: A power transfer managing apparatus includes: a demand information acquiring unit that acquires information indicating power demand in a power network; a selecting unit that selects, as a vehicle to be caused to perform power transfer with the power network according to the power demand, a vehicle provided with a driving power source having an accumulated energy amount larger than a predetermined accumulation amount, and having an accumulatable energy amount larger than a predetermined accumulatable amount; and a notification control unit that makes a user of the vehicle that is selected by the selecting unit notified.

Abstract: A method for predicting when energy consumption will exceed normal production capacity for buildings including generating data sets for each of the buildings, where energy consumption values within each set are shifted by one of a plurality of lag values relative to time and temperature values, and where each lag value is different; performing a regression model analysis on each set to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, regression model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption will exceed normal production capacity; and receiving the time when energy consumption will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption.

Abstract: The present invention relates to a power system having a plurality wind turbine generators and a power plant controller arranged to communicate with the plurality of wind turbines generators, where each of the plurality of wind turbine generator being related to a wind turbine controller, the wind turbine controller being arranged to control an active power output in its related wind turbine generator according to an active power set point received from the wind power plant controller; a first subset of wind turbine generators operating at an active power output unrestricted of the active power set point; and a second subset of wind turbine generators operating according to an active power set point; and wherein the wind power plant controller communicates the active power set point, in accordance with the active power output of the first subset of the plurality of wind turbines generators, so as to reduce active power fluctuation of the aggregated active power output of the first and second subset of the plu

Abstract: The present invention is generally directed to systems and methods for optimizing energy usage in a household. For example, methods for optimizing energy usage in a household may include steps of: receiving, using an energy optimization device, entire energy profile data associated with the household; obtaining, using the energy optimization device, time of use (TOU) energy pricing structure; processing, the entire energy profile data to generate disaggregated appliance level data related to one or more appliances used in the household; retrieving historical patterns of energy usage of the household during both peak and non-peak time periods; applying a behavior shift analysis on the disaggregated data based at least in part on the TOU energy pricing structure, disaggregated data, and historical patterns of the energy usage; and predicting potential energy savings based at least in part on the behavior shift analysis.

Abstract: The disclosure includes methods, systems and apparatus for predictive management of efficient selecting and receiving of retail electric utility service to a facility for a period, by automated selecting of a retail utility service provider corresponding to a selected least cost path of predicted rate plan choices across the period, wherein costs of all possible, viable time-bounded predicted rate plan choices are determined for predicted consumer usage where a predicted market of retail rate formulas for the period are predicted in relation to at least one variable, such as weather.

Abstract: A method for simulation of behavior and/or performance of an internet-of-things system uses an internet-of-things simulation environment. The simulated internet-of-things system includes at least a plurality of simulated internet-of-things communication devices in a communication network providing radio coverage in a predetermined geographical area. Via transmission of internet-of-things payload data between the simulated internet-of-things communication devices and the communication network, the simulated internet-of-things system provides a simulated internet-of-things service.

Abstract: A control system includes a controller that executes, a first control process including acquiring data indicating a state of the facility device, and performing an operation for control of the state of the facility device based on the acquired data, and a second control process including the acquisition and operational processes, in which an amount of processing is less than that of the first control process. The control system also includes a switch that performs, a control to maintain or switch a state of the first control process to the stop state, and switch a state of the second control process to an execution state, and a control to switch a state of one of the first and second control processes to the execution state, based on predicted amounts of decrease in an electric power cost of and increase in the operation cost.

Abstract: An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital modeling of industrial assets.

Abstract: Systems, methods, and devices may enable management of a renewable power asset. A control device may generate a Day-Ahead (DA) pricing model, a Real-Time (RT) pricing model and a renewable generation model for the renewable power asset. Optimal DA commitments may be determined, and an optimal RT schedule estimated. A DA power delivery strategy and an RT power delivery strategy may be determined. The determined DA and RT power delivery strategies may be evaluated based on obtained real power prices. The DA and RT power delivery strategies may be redetermined, and the renewable power asset may be controlled to deliver power the DA and RT power delivery strategies. The value of the renewable power asset may be maximized while bounding financial risks and returns associated with scheduling the renewable power asset as tailored to risk preferences of the renewable power asset owner or operator.

Abstract: The present invention relates to a power system having a plurality wind turbine generators and a power plant controller arranged to communicate with the plurality of wind turbines generators, where each of the plurality of wind turbine generator being related to a wind turbine controller, the wind turbine controller being arranged to control an active power output in its related wind turbine generator according to an active power set point received from the wind power plant controller; a first subset of wind turbine generators operating at an active power output unrestricted of the active power set point; and a second subset of wind turbine generators operating according to an active power set point; and wherein the wind power plant controller communicates the active power set point, in accordance with the active power output of the first subset of the plurality of wind turbines generators, so as to reduce active power fluctuation of the aggregated active power output of the first and second subset of the plu

Abstract: A resource management system, which manages a resource consumed by a user, includes: a processor that executes a program; and a storage device that stores the program. The processor executes: a resource consumption amount acquisition process of acquiring a resource consumption amount of the user; a user characteristic estimation process of estimating characteristics of the user based on the resource consumption amount; a target calculation process of calculating a target value related to the resource consumption amount for which the user needs to cooperate based on the characteristics of the user estimated by the user characteristic estimation process; a cooperation request generation process of generating cooperation request data related to reduction of the resource consumption amount for the user based on the target value calculated by the target calculation process; and an output process of outputting the cooperation request data generated by the cooperation request generation process.

Abstract: Systems, methods and apparatuses are provided for reducing peak energy demand and to smooth intermittent energy profiles from onsite variable energy sources and loads. Some embodiments use system level and device level analysis and optimization to adaptively adjust the operation of a behind the meter energy storage (BMES) to smooth out energy generation variabilities and follow a reference load signal, including at short time resolutions.

Abstract: Energy and demand costs reduction method through management of an entity load using an energy storage system; simulating the entity load including using predictive analytics; or receiving user inputs of an event schedule impacting entity load; performing optimization at start of billing cycle including establishing a demand reduction target achievable with an energy storage system device implemented; setting a periodic schedule for energy storage system discharge and allocating a portion of energy storage capacity to a reserve to be used in event of volatility in entity load; determining any unused capacity of the energy storage system at an end of a period, and responsive to the determining, redistributing any unused capacity to a remaining period of the schedule; and resetting the demand reduction target for each time-of-use period to what was achieved previously for the same billing period.

Abstract: Systems, methods and apparatuses to generate a Fingerprint of a Physical Location for Placement of Virtual Objects are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, to generate a fingerprint of the physical location using the location metadata including one or more of, the geometric features and the physical objects. The method can further include tracking device movement in the physical location to determine a position of the device relative to the fingerprint of the physical location and rendering or placing the virtual object in the physical location based on the position of the device and the fingerprint of the physical location.

Abstract: A system for machine-learning for prediction grid carbon emissions includes a computing device configured to receive, from a first local grid monitoring device monitoring a first local grid, a plurality of first power output quantities of a plurality of power generators in the first local grid, train an emission projection machine-learning process, wherein training further includes compiling a plurality of training data entries, each training data entry correlating a plurality of past power output quantities with at least a reported carbon emission datum and training the emission projection machine-learning process using the plurality of training data entries, and generate, using the emission projection machine-learning process, a projected carbon emission rate as a function of the plurality of power output quantities.

Abstract: One aspect of the present disclosure involves dynamically performing power capping with respect to a group of computing systems. Different priority levels can be assigned to at least some of the individual computing systems within the group of computing systems. Individual power limits can be set for the plurality of individual computing systems based at least in part on the different priority levels and utilization levels of the plurality of individual computing systems. Another aspect of the present disclosure involves dynamically performing power capping with respect to various subsystems of a computing system. Different priority levels can be assigned to at least some of the plurality of individual subsystems within the computing system. Individual power limits can be set for the plurality of individual subsystems based at least in part on the different priority levels and current power consumption of the plurality of individual subsystems.

Abstract: A power distribution grid for a facility, such as a data center, is located within the facility. The power distribution grid includes a plurality of power transport elements arranged in a grid pattern and nodes located at intersections of the grid pattern. Electrical loads are supplied power via respective nodes of the power distribution grid. Also, each node is supplied power from more than two transport elements, such that one or more transport elements can fail and electrical loads connected to a particular node associated with the failed transport elements continue to receive electrical power supplied to the particular node from at least two different transport elements.

Abstract: A control system for a central plant having devices serving energy loads of a building. The control system includes a central plant optimizer wizard generator that receives user input and generates a central plant model for the control system. The central plant optimizer wizard generator includes an equipment model generator that receives user input and generates equipment models for the devices in the central plant, a device layer generator that generates device layers, an asset layer generator that generates asset layers, and a scaled load profile generator that generates a scaled building load profile of the building using the asset layers and the user data. The central plant optimizer wizard generator generates the central plant model using the asset layers and the scaled building load profile. A demand response optimizer uses the central plant model to determine control decisions for the devices included in the central plant.

Abstract: A system and method for identification of a landing site for aerial vehicles are provided. In one embodiment, the method includes processing image data pertaining to a potential site area. The method further includes identifying existing building infrastructure and defining boundaries of the identified existing building infrastructure in the potential site area, based on the processed image data. The method also includes identifying existing road infrastructure adjacent to the boundaries of the identified existing building infrastructure and defining boundaries of the identified existing road infrastructure, based on the processed image data. The method further includes calculating a feasibility score of the existing building infrastructure by analyzing the identified existing building infrastructure and the identified existing road infrastructure.

Abstract: A power management server comprises a controller configured to select based on a predetermined standard, from among a plurality of facilities including a distributed power supply, a first facility in which first processing is applied to the distributed power supply and a second facility in which second processing is applied to the distributed power supply. The first processing is processing of controlling an output power of the distributed power supply by using a first target value as a target value for purchased power purchased by the facility from a power provider. The second processing is processing of controlling the output power of the distributed power supply by using a second target value as the target value for the purchased power, the second target value being greater than the first target value.

Abstract: Disclosed is a laundry scheduling apparatus. The apparatus includes a communication unit, an output unit, and a processor configured to pair with at least one washing machine via the communication unit, obtain laundry preference parameters of a user generated by learning based on at least one of a deep learning algorithm or a machine learning algorithm, using at least one of a laundry log of the user or laundry satisfaction information of the user as input data, generate laundry scheduling information by using washing machine information about the paired at least one washing machine, the laundry preference parameters, and laundry item information obtained via at least one of a user input unit, an interface unit, or a sensor, and cause the output unit to output the laundry scheduling information.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a memory configured to store classifier parameters, and at least one processing core configured to use a classifier and the classifier parameters to determine a category of least one data composition, the at least one data composition comprising utility usage information concerning a utility unit, the category comprising a life condition present in the at least one utility unit.

Abstract: Disclosed herein are WIFI and could enabled temperature control systems. The temperature control systems are configured to receive user temperature settings and preferences, and control a water heater based on the user temperature settings and preferences. The temperature control systems include two or more sampling rates for enabling a higher efficiency of operation compared to conventional water heaters.

Abstract: The example embodiments are directed to a system and method for forecasting load flexibility of a power grid. In one example, the method includes receiving temperature values associated with temperature set points of a plurality of loads that are included on a power grid, forecasting a flexibility of the plurality of loads using a polynomial-time mixed-integer non-linear programming (MINLP) optimization based on the received temperature values for the plurality of loads, and outputting information about the forecasted flexibility for display to a display device. The MINLP optimization performs the forecasting of the load flexibility on a fine-grained basis in comparison to conventional methods and is still fast enough that it can be computed in real-time.

Abstract: Systems and methods for optimizing energy distribution are disclosed. Exemplary embodiment may: receive a request for separating a grid sub-network from a greater grid network at a grid point of common coupling, and wherein the greater grid network comprises a first set of premises, a first set of energy resources, and a first set of premise points of common coupling; separate the grid sub-network, wherein the grid sub-network comprises a second set of premises, a second set of energy resources, and a second set of premise points of common coupling; distribute energy from the second set of energy resources to the second set of premises of the grid sub-network; receive a request to reintegrate the grid sub-network to the greater grid network; reintegrate the grid sub-network; and distribute energy from the first set of energy resources to the first set of premises of the greater grid network.

Abstract: A planning tool used to facilitate more efficient design of a central plant is configured to provide an advanced user interface. The user interface includes a symbol palette with selectable symbols that represent resource suppliers, subplants, energy loads, and resource storage devices associated with a central plant. The user interface allows users to drag these symbols onto a workspace and form various connections between the symbols. The user interface provides feedback to the user and prevents improper connections by evaluating user inputs according to a set of rules. The rules define valid relationships between the resource suppliers, subplants, energy loads, and resource storage devices. The user interface also allows users to specify equipment contained within the subplants. After a central plant model is created via the user interface, users can simulate operation of a central plant according to the model for planning, budgeting, and/or design considerations.

Abstract: A method includes detecting a fault in a grid coupled to a distribution power network, the distribution power network comprising a distribution feeder, a plurality of distributed energy resources (DERs) coupled to the distribution feeder and a reference point of applicability (RPA) associated with the plurality of DERs, and in response to detecting the fault, determining an error voltage at the RPA, converting the error voltage into an error signal, broadcasting the error signal to the plurality of DERs, and based on the error signal, reducing the error voltage at the RPA by injecting a plurality of currents from the plurality of DERs to the distribution feeder.

Abstract: An electric power system includes a generating unit, which includes a controller for controlling an operational mode of the generating unit. The electric power system also includes an event estimator communicatively coupled to the controller of the generating unit and a network estimator communicatively coupled to the event estimator. The network estimator includes a processor configured to receive status information associated with the electric power system, determine, based upon the status information, at least one characteristic of the electric power system, and transmit the at least one characteristic to the event estimator.

Abstract: Physical and/or financial instruments may optimally hedge the cash flow of one or more renewable energy generators based on a desired risk and return profile of renewable infrastructure investors. Baseline revenues may be determined based on forward-looking electricity market price scenarios corresponding to qualified market products intended for sale from the renewable energy generators. Risk and return metrics of cash flows of the renewable energy generators may be determined. At least one physical hedge and/or financial hedge may be added. The size and operation of the renewable energy generators along with any physical hedges, or financial hedges, or both physical and financial hedges, may be optimized across multiple market price scenarios of qualified market products to optimize investor-tailored risk and return utility functions.

Abstract: A system is disclosed comprising: a plurality of electronic measuring devices adapted to provide measurement data of a set of physical quantities; wherein the measurement data from each measuring device are characterized by at least one respective measuring characteristic; a data processing arrangement, configured to calculate at least two measurements for each physical quantity based on said measurement data; and further configured to select a best measurement for each physical quantity based on said measuring characteristics.

Abstract: A modular power conversion system. The modular power conversion system includes at least one first electric resource, a modular power stage, at least one second electric resource, and wherein the modular power stage comprising at last one module including power electronics for converting power between the at least one first electronic resource and the at least one second electric resource.

Abstract: An arrangement consisting of a motor vehicle, including a battery, a charging connection and a charging device connected between the battery and the charging connection, and a connector. A first coupling which is or can be connected to the charging connection of the motor vehicle, and a second coupling which is connectable to an energy sink for power transport from the motor vehicle to the energy sink. The connector is designed for providing at least one item of power transport information to the motor vehicle. The charging device is designed for evaluating the item of power transport information or one of the items of power transport information and for specifying the direction of the power transport between the battery and the charging connection depending on the result of the evaluation.

Abstract: A network edge device includes a local network interface, a remote network interface, a memory and a processor. The local network interface receives data from local data sources over a local network. The remote network interface communicates with a remote computer over a remote network. The processor receives a filter parameter set for each local data source from the remote computer. Each filter parameter set includes a data rate parameter and at least one of a minimum threshold parameter, a maximum threshold parameter or a change-of-value (COV) parameter. For each local data source, the processor compare each data value received from the local data source to at least one of the filter parameters, and sends the data value and subsequent data values to the remote computer at a data rate that is based on the data rate parameter.

Abstract: A charging processing system includes: a power supply facility that supplies CO2 free power; electrically powered vehicles that each perform CO2 free charging to charge an onboard power storage device using the CO2 free power supplied from the power supply facility; mobile terminals portable by users who own the electrically powered vehicles; and a server. The server issues a coupon to a user of an electrically powered vehicle in which the CO2 free charging is performed, the coupon being usable at a shop located around the power supply facility. The server includes: a storage device that stores user attribute information in which a user ID and an attribute of each user are associated with each other; and a control device that extracts a user who has a specific attribute by making reference to the user attribute information and that notifies coupon advance-notice information to the extracted user.

Abstract: A method includes operating equipment to consume energy resources including energy or power purchased from a utility, and obtaining a block-and-index rate profile for a future time period. The block-and-index rate profile includes a block rate and a block size for each of a plurality of sub-periods in the future time period. The block size for a sub-period identifies an amount of energy or power priced at the block rate for the sub-period. The method also includes applying the block-and-index rate profile in an optimization process for the equipment over the time period, running the optimization process, and allocating energy resources to the equipment over the time period in accordance with a result of the optimization process.

Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.

Abstract: Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat controls an HVAC system to cool the structure using a demand response event implementation profile over the demand response event period. The thermostat can also receive a requested change to the setpoint temperatures defined by the demand response event implementation profile and access a determination of an impact on energy shifting that would result if the requested change is incorporated into the demand response event implementation profile. This determination can be communicated to the energy consumer.

Abstract: A building management system includes one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a publication by an agent on an agent communication channel, the publication comprising timeseries data, identify, based on the publication, an object entity of an entity database associated with the agent, wherein the entity database includes one or more object entities and relationships between the one or more object entities and one or more data entities, identify a data entity related to the object entity based on a relationship of the relationships relating the object entity and the data entity, and ingest the timeseries data into the data entity.

Abstract: An electrical wall plate includes at least one electrical device opening extending through the wall plate and a camera electrically connected to a power connector configured to electrically connect to an electrical device, when the electrical wall plate is mounted to the electrical device, and a corresponding of method of capturing video images is provided.

Abstract: An optimization system for a central plant includes a processing circuit configured to receive load prediction data indicating building energy loads and utility rate data indicating a price of one or more resources consumed by equipment of the central plant to serve the building energy loads. The optimization system includes a high level optimization module configured to generate an objective function that expresses a total monetary cost of operating the central plant over an optimization period as a function of the utility rate data and an amount of the one or more resources consumed by the central plant equipment. The optimization system includes a demand charge module configured to modify the objective function to account for a demand charge indicating a cost associated with maximum power consumption during a demand charge period. The high level optimization module is configured to optimize the objective function over the demand charge period.

Abstract: Systems and methods for implementing an economic strategy such as a model predictive control (EMPC) strategy. An EMPC tool is configured to present to receive sinks and connections between central plant equipment. The EMPC tool also includes a data model extender configured to extend a data model to define new entities and/or relationships. The EMPC tool also includes a high level EMPC algorithm configured to generate an optimization problem and an asset allocator configured to solve the resource optimization problem in order to determine optimal control decisions used to operate the central plant.

Abstract: The present disclosure provides system and method for determining optimal decision parameters for a demand response (DR) event involving a District Cooling Plant (DCP). Most of conventional DR event techniques address control of building-level energy consumption loads alone while in presence of District Cooling (DC) has not received much attention when a plurality of buildings are served by a District Cooling Plant (DCP). The disclosed system and method determine set points of optimal decision parameters of the plurality of buildings and the DCP, by conditioning and un-conditioning on the DCP parameters such that a thermal discomfort of occupants residing in the plurality of buildings is minimum and achieves a maximum target energy demand reduction during the DR event. The disclosed system and method work for hundreds of buildings and able to determine the optimal decision parameters for each building and the DCP efficiently.

Abstract: A method for electrical charging of an energy storage of a motor vehicle at a motor vehicle external charger, wherein at least one charging constraint specified by a user of the motor vehicle specifically for the upcoming charging process of the energy storage is detected, and a charging current for the upcoming charging process is determined depending on the at least one charging constraint, and the charging process is performed depending on the determined charging current.

Abstract: The present disclosure is directed to a method for performing energy analytics in a building management system. The method can include collecting respective data samples of one or more variables from building equipment during a first period of time and a second period of time. The method can include calculating a first plurality of values for one or more energy audit metrics based on the data samples collected during the first period of time and the second period of time. The method can include comparing the first plurality of values and second plurality of values. The method can include displaying, based on the comparison, at least one of the first plurality of values and/or at least one of the second plurality of values on a dashboard to facilitate adjustment of the one or move variables.