Abstract: The present disclosure relates to a method for determining an efficiency curve of a chiller that includes operating a chiller over a range of operating capacities, measuring a temperature of water entering the chiller at an initial capacity, measuring a temperature of water exiting the chiller at the initial capacity, measuring a power consumption of the chiller at the initial capacity, calculating an initial efficiency of the chiller at the initial capacity, measuring a plurality of temperatures of water entering the chiller at a plurality of capacities, measuring a plurality of temperatures of water exiting the chiller at each of the plurality of capacities, measuring a plurality of power consumptions at each of the plurality of capacities, calculating a plurality of efficiencies at each of the plurality of capacities, and generating an efficiency curve for the chiller with the initial efficiency and the plurality of efficiencies.

Abstract: An electrical power distribution control system configured to issue a demand response signal to cut power to a plurality of electrical power consuming loads within an electrical power distribution network to reduce a peak power demand within an electrical power grid during a peak power demand. Unlike conventional demand response systems, the controller in each consumer residence includes both a distributed control based on the ability to track individual 24 hour usage patterns and selectively delay the demand response signal on individual resistive heating loads based on usage patterns for the purpose of reducing a likelihood of consumers experiencing effects of the reduced peak power demand.

Abstract: An asynchronous temperature control integrated device includes a graphics card body including a graphics processor and a power supply circuit, at least one external fan connection port, a first heat dissipation device, at least one first temperature sensor, a second heat dissipation device, a plurality of second temperature sensors, a plurality of light emission elements, and a control device including an externality control member, a high-power drive module, and a scenario database. Thus, two groups of heat dissipation device and temperature sensor are provided to respectively detect the temperatures of two major heat sources on the graphics card body, and the heat dissipation performances of the two heat dissipation devices are individually controllable to make timely and efficient operations of the heat dissipation devices, and also to collaboratively drive an external fan to thereby enhance overall airflow, reduce system internal temperature, and achieve bettered conditions of temperature control.

Abstract: According to the embodiments of the present disclosure, there is provided a method and device of detecting fault in production, and a computer readable storage medium. The method includes: determining whether a plurality of production paths in a production line are faultless in one or more production batches, based on production record data; and determining at least one of the plurality of production paths to be faulty, at least partially based on whether the plurality of production paths are faultless in the one or more production batches.

Abstract: A peer-to-peer energy sharing network includes a common bus; a first node including a first local bus electrically connected to the common bus, at least one of a load, a storage device, and a generating capacity electrically connected to the first local bus through a first interface device, and a first local controller in communication with the first interface device; and a second node including a second local bus electrically connected to the common bus, at least one of a load, a storage device, and a generating capacity electrically connected to the second local bus through a second interface device, and a second local controller in communication with the second interface device, wherein the each interface device is controlled by its local controller to selectively pass electrical energy to and/or from the common bus via its local bus.

Abstract: A managing apparatus includes: a data collecting unit that collects at least quality information on a workpiece having been machined by a first machine tool and operational information on other machine, an analyzing unit that performs an analysis for determining correlation between the quality information on a workpiece having been machined by the first machine tool and the operational information on the other machine, an operation plan making unit that makes an operation plan, based on the correlation determined by the analyzing unit, for imposing a restriction on an operation of the other machine to reduce vibrations to be transmitted to the first machine tool during high-precision machining performed by the first machine tool, and an operation instruction providing unit that provides an operation instruction to the other machine based on the operation plan made by the operation plan making unit.

Abstract: Disclosed herein are system, method, and computer program product embodiments for the prediction of listing attributes for a for sale object (FSO). Data analyzed with respect to historical listings in a database is compared to attributes of the FSO using machine learning (ML) and artificial intelligence (AI), in order for the user to select a category related to the FSO, and for a listing generation module to generate a ultimately reduced set of listings related to the FSO, where the ultimately reduced set is used to predict a price for the FSO based on the selected category, and generate a listing for the FSO, wherein a listing for the FSO is monitored, and information from the monitoring is used as machine learning feedback to train and enhance predictions.

Abstract: The described techniques enable a skid communicator tool to quickly change network settings to those required by a particular skid or network in a process control environment with which a user of the tool wishes to establish communication. These techniques are helpful because skids and networks in process control environments often require different network settings for any device attempting to communicate with the skids or network, and a user often must manually load these network settings every time she wants to communicate with a different network or skid. By contrast, the techniques enable the skid communicator tool to seamlessly connect to, disconnect from, and reconnect to any of the skids or other networks requiring different network settings with minimal input from the user, thus enabling a user to easily move through and interact with different areas, units, or equipment of the process control environment.

Abstract: The present disclosure relates to a method for determining an efficiency curve of a chiller that includes operating a chiller over a range of operating capacities, measuring a temperature of water entering the chiller at an initial capacity, measuring a temperature of water exiting the chiller at the initial capacity, measuring a power consumption of the chiller at the initial capacity, calculating an initial efficiency of the chiller at the initial capacity, measuring a plurality of temperatures of water entering the chiller at a plurality of capacities, measuring a plurality of temperatures of water exiting the chiller at each of the plurality of capacities, measuring a plurality of power consumptions at each of the plurality of capacities, calculating a plurality of efficiencies at each of the plurality of capacities, and generating an efficiency curve for the chiller with the initial efficiency and the plurality of efficiencies.

Abstract: An apparatus for diagnosing failure of a plant is provided. The apparatus for diagnosing failure of a plant includes: a data analyzer configured to provide data analysis information, which is information requiring analysis to diagnose failure of the plant, and a comprehensive diagnostic device configured to diagnose the failure using each of an algorithm-based diagnosing technique and a domain knowledge-based diagnosing technique based on the data analysis information, and to derive comprehensive diagnosis information for the failure by summarizing results of the algorithm-based diagnosing technique and the domain knowledge-based diagnosing technique.

Abstract: A control system and method determine an energy demand associated with delivery of cargo in a trip. The energy demand represents how much electric energy is needed to move cargo vehicles that carry the cargo through the trip. Locations of energy tenders and states of charge of the energy tenders are determined. A schedule for the cargo vehicles to deliver the cargo to a delivery location within a delivery time slot is determined. This schedule is determined based on the energy demand, the locations of the energy tenders, and the states of charge of the energy tenders. The system and method direct which of the energy tenders that the cargo vehicles are to couple with, be powered by, and move with for powering the cargo along routes to the delivery location of the trip within the designated time slot.

Abstract: Apparatus includes a signal processor that receives signaling containing information about real time pump operating parameters related to pumps forming part of a pumping system in a plant/facility, and a user input selecting a pump for displaying the real time pump operating parameters on a control monitor to allow a plant/facility operator to implement a centralized pump control of the pumps at a given centralized location; and that determines corresponding signaling containing information to display on the control monitor the real time pump operating parameters to allow the plant/facility operator to implement the centralized control of the pumps at the given centralized location, based upon the signaling received.

Abstract: A system includes a processing circuit onboard an aircraft and configured to determine an optimum cruise profile for the aircraft based on a flight plan, a characteristic of the aircraft, and an environmental characteristic. The processing circuit is also configured to determine an optimized cruise vertical path based on the optimum cruise profile and air traffic information of at least one other aircraft, and control an autopilot system of the aircraft to cause the aircraft to follow the optimized cruise vertical path.

Abstract: Systems, methods, and computer-readable media are disclosed for planning and scheduling of manufacturing using a receding horizon planning approach that enables the manufacture of multiple products in a flexible and efficient manner. A receding horizon planning engine is provided that receives input data indicative of various manufacturing parameters associated with the manufacture of various products and utilizes the input data to solve an optimization problem with respect to a cost function to generate a receding horizon execution plan indicative of a set of planned manufacturing steps to be executed. Some subset of the planned manufacturing steps (which may include all planned steps) may then be executed. Upon completion of execution of the subset of planned manufacturing steps or upon the occurrence of a trigger event, the optimization problem may be re-solved to obtain a new receding horizon execution plan for a subsequent set of planned manufacturing steps.

Abstract: Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.

Abstract: Techniques for generating dynamic dust emission risk index values via construction and use of a dynamic dust emission risk index model are provided. In one example, a computer-implemented method comprises generating, by a system operatively coupled to a processor, a dynamic dust emission risk index value based on a dynamic dust emission risk index model. The computer implemented method also includes supplying, by the system, the dynamic dust emission risk index value to an air quality model. Additionally, the computer implemented method further comprises generating, by the system, a dust emission forecast based on the air quality model.

Abstract: A control parameter optimizing system and an operation optimizing apparatus equipped therewith are provided, the system being applicable to an existing plant without modifying the control panel or equipment of the plant, the system further being capable of optimizing the operation control of the plant in accordance with diverse operational requirements. The system includes an objective function setting section, a plant model, and a control parameter optimizing section. The control parameter optimizing section includes an optimization control parameter selecting section and an optimization control parameter adjusting section. The optimization control parameter selecting section selects as an optimization control parameter the control parameter for optimizing an objective function based on control logic information extracted from a power plant.

Abstract: Provided is a synchronization control device that can control a mechanical system with good track followability. A control unit for each shaft of the synchronization control device includes: a delay time compensator which delays a position command to an FB torque command generation unit, and of which equivalent time constant is approximately the same as an equivalent time constant as a gain compensator. The synchronization control device also includes a phase adjustment unit, which adjusts a phase of at least one of the position commands, in a previous stage of each control unit, so that the time until the position command, input to each control unit, is output from the delay time compensator, becomes approximately the same.

Abstract: A system for improving production of a process control system comprises a processor, sensors connected to one or more assets in the process control system, human-machine interfaces, and a storage memory storing instructions for execution on the processor. The system receives process data via the sensors and determines an input cost of the one or more assets and an output value of the one or more assets. The system provides a net production value of the one or more assets based on the determined input cost and output value. The system stores the input cost, output value, and net production value on a storage memory and provides the input cost, output value, and net production value along with critical asset performance information of asset value, asset performance and opportunity costs for each asset and asset set in the operation to a user via the human-machine interfaces.

Abstract: A system, computer-readable medium, and a method including obtaining flight data for a specific aircraft for a prescribed flight; obtaining current sample measurements of at least one state or output of the specific aircraft; performing based on the obtained flight data, the current measurements or outputs, and a mathematical model accurately representing an actual operational performance of the specific aircraft and providing a predictive indication of a future performance of the specific aircraft, a control optimization to determine a cost-optimal control input for the prescribed flight; adjusting, in response to a consideration of actual operational characteristics of the specific aircraft, the optimized control input; and transmitting the adjusted optimized control input to the specific aircraft to operate the specific aircraft to minimize the direct operating cost for the prescribed flight.

Abstract: The present disclosure relates to a computer-implemented method for electronic design simulation. The method may include providing, at an electronic design associated with one or more computing devices, a differential pair between a driver and a receiver. The method may further include identifying one or more segments associated with the differential pair and automatically solving, using the one or more computing devices, for a dynamic phase associated with the one or more segments.

Abstract: A tuning system for improving operation of a plant. A server is coupled to the tuning system for communicating with the plant via a communication network. A computer system has a web-based platform for receiving and sending plant data related to the operation of the plant over the network. A display device interactively displays the plant data. A reconciliation unit is configured for reconciling actual measured data from the plant in comparison with a performance process model result from a simulation engine based on a set of predetermined reference or set points. The reconciliation unit performs a heuristic analysis against the actual measured data and the performance process model result using a set of predetermined threshold values.

Abstract: Systems and methods for uplink (UL) and downlink (DL) communications can improve channel capacity between one or more access nodes and one or more terminal nodes. The communications may utilize, for example, multi-user multiple-input multiple-output techniques with cooperation between access nodes. A network node may determine an ordering combination and associated pre-weighting values, provide the pre-weighting values to one or more terminal nodes, receive signals transmitted from the terminal nodes using the pre-weighting values; and process the received signals using the ordering combination and the pre-weighting values. Two constraints can be jointly used: a minimum performance constraint and a maximum transmit power constraint. Example systems search all possible ordering combinations to find a best combination, for example, the ordering combination that maximizes communication rates.

Abstract: A system and method for designing and manufacturing of composite parts wherein the planner can design the part on a computer and analyze the entire work flow process from design to manufacture so as to determine the most efficient design and method of manufacture including resource costs including time, machines, material, labor and expenses.

Abstract: Disclosed aspects relate to managing a database management system (DBMS) using a set of stream computing data derived from a stream computing environment. The set of stream computing data which indicates a set of stream computing environment statistics may be collected with respect to the stream computing environment. A proactive database management operation may be determined for performance with respect to the DBMS based on the set of stream computing data which indicates the set of stream computing environment statistics. The proactive database management operation may be performed to manage the DBMS using the set of stream computing data.

Abstract: Simultaneous automatic placement and routing speeds up implementation an integrated circuit layout and improves the resulting layout such that the layout is more compact, has reduced parasitics, and has improved circuit performance characteristics (e.g., power, frequency, propagation delay, gain, and stability). A technique generates solutions based on a random normalized polish expression, and includes cost considerations based on routing of interconnect.

Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.

Abstract: A heuristic touch interface system includes a touch interface device having a touch input surface and being configured to provide touch input data indicative of a location of a touch input from a user on the touch input surface. An accelerometer determines acceleration forces relative to the touch input surface and provides acceleration data. A heuristic controller accesses the acceleration data to determine if an acceleration force exceeds a predetermined threshold. In response to an acceleration force exceeding the predetermined threshold, the heuristic controller accesses the touch input data, generates acceleration-corrected touch input data, and transmits a signal indicative of the acceleration corrected touch data to an avionics system.

Abstract: A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element.

Abstract: A wireless end-user device contains a wireless modem, a network stack configurable to receive and transmit network data via the wireless modem, a media service manager, and a service classification agent. The media service manager manages network data transfers for media objects as requested by multiple applications. Even though the media service manager manages the network data transfers, the service classification agent provides a capability to associate network data usage for the network data transfers with the applications that requested the service from the media service manager.

Abstract: A flow control valve includes a housing that includes a fluid inlet, a fluid outlet, a first work port and a second work port. The housing defines a spool bore and a pilot spool bore. A main stage spool is disposed in the spool bore. A pilot stage spool is disposed in the pilot spool bore. The pilot stage spool is in selective fluid communication with the main stage spool. A microprocessor includes a controller having a restricted structured controller and a compensation controller. Outputs of the restricted structured controller and the compensation controller are summed to form an electrical signal that is communicated to the pilot stage spool.

Abstract: A method of process cost analysis that includes determining a per-unit cost function for executing a process step, determining a percentage-of-acceptable-parts function for executing a process step, and receiving production data into memory. The production data corresponds to a measured quality metric of the executed process step. The method further includes determining a probability density function for the received production data, executing on a processor a correlation routine for cross-correlating the cost function with the probability density function of the production data to provide a first cross-correlation, and executing on the processor the correlation routine for cross-correlating the percentage-of-acceptable-parts function with the probability density function of the production data to provide a second cross-correlation.

Abstract: A method of controlling a water heater is provided. The method comprises evaluating the fitness of solutions associated with a plurality of individuals in a population for a current operating environment of the water heater. Each of the plurality of individuals comprises a dominant genotype and a recessive genotype. Each genotype represents a solution for controlling the water heater. A fitness function is applied to the dominant genotype of each individual. The fitness function is based on at least one of water flow demand data and energy price data. The method further comprises storing previously encountered genotypes in the recessive genotypes of the individuals. The method further comprises selecting a solution for controlling operation of the water heater based on the fitness evaluation.

Abstract: Managing computer resources. Workload state information associated with one or more servers in a data center is accessed by a computer, the workload state information comprises workload placement on one or more servers, cooling conditions of the one or more servers, and performance requirements associated with a data center. Cooling state information of cooling resources associated with the one or more servers are accessed by the computer, the cooling state information comprises cooling conditions of the cooling resources. The workload state information and the cooling state information are compared by the computer. Based on the comparing, the computer generates workload repositioning instructions that instruct repositioning of workload on the one or more servers to meet the performance requirements.

Abstract: A method and an apparatus according to an embodiment of the invention includes a controller to process a criterion for selecting a point-of-interest (POI). The criterion can be based on historical trip data. Data related to a POI, including a community-of-interest rating, for example, can be accessed through a satellite and terrestrial mobile communication network. Multiple POIs can be graphically represented for user selection based on the criterion and/or other data. Once a POI is selected, data related to the selected POI, including navigation data, can be displayed. In another embodiment, the controller can access navigation data to a specified destination. The navigation data can be based on historical trip data such as route segments and destination areas. The navigation data can be accessed from an in-vehicle system or from a navigation service provider and can be displayed to assist a user in reaching the specified destination.

Abstract: A method for optimizing energy efficiency in a manufacturing process includes monitoring power consumption of each of a plurality of manufacturing entities of the manufacturing process using a power metering device assigned thereto; collecting, from the power metering devices, a first data stream that includes information about the power consumption; collecting a second data stream that includes information about the manufacturing entity and process; determining an optimized product routing of products to be manufactured by the manufacturing process from one manufacturing entity to another manufacturing entity, based on the collected first and second data streams, by simulating different product routings and determining the optimal product routing with respect to the overall energy consumption of the manufacturing process; and adjusting, via a manufacturing control system, the manufacturing process based on the optimized product routing.

Abstract: Systems and methods for limiting power consumption by a heating, ventilation, and air conditioning (HVAC) subsystem of a building are shown and described. A feedback controller is used to generate a manipulated variable based on an energy use setpoint and a measured energy use. The manipulated variable may be used for adjusting the operation of an HVAC device.

Abstract: In a building which has at least two floors, an apparatus for controlling and regulating room temperature having a hierarchical structure includes a predictive device on the top level, that provides optimal control of the use of at least one free energy source, and at least one device on a lower level which is used for feedback regulation of at least one additional energy source. The predictive device uses a building model and repeatedly optimizes the energy requirement or the energy costs. The regulation strategy of the predictive device uses characteristics of a passive heat accumulator of the building.

Abstract: Systems and methods for optimization of facility locations are disclosed, for example, wireless telecommunications facility locations. Among a plurality of cluster points, corresponding to wireless customers, optimal locations are determined for a predetermined number of cluster centers, each cluster center having a predetermined cluster radius that defines a cluster area. Among a plurality of cluster points, optimal facility locations are determined for a variable number of cluster centers, each cluster center having a minimum acceptable economic value.

Abstract: A control system for optimizing an oxy-fuel power plant comprises an optimizer in communication with the oxy-fuel power plant; the oxy-fuel power plant being operative to recycle carbon dioxide from a flue gas stream to a boiler; a control platform; the control platform being operative to control the oxy-fuel power plant; and a simulator; the simulator being operative to simulate performance of the oxy-fuel power plant.

Abstract: A method and an apparatus according to an embodiment of the invention includes a controller to process a criterion for selecting a point-of-interest (POI). The criterion can be based on historical trip data. Data related to a POI, including a community-of-interest rating, for example, can be accessed through a satellite and terrestrial mobile communication network. Multiple POIs can be graphically represented for user selection based on the criterion and/or other data. Once a POI is selected, data related to the selected POI, including navigation data, can be displayed. In another embodiment, the controller can access navigation data to a specified destination. The navigation data can be based on historical trip data such as route segments and destination areas. The navigation data can be accessed from an in-vehicle system or from a navigation service provider and can be displayed to assist a user in reaching the specified destination.

Abstract: Methods and systems are described for selecting a resource based on a measure of a processing cost. Resource information is received identifying a first resource and a second resource for processing by a program component. One or more of a first measure of a specified processing cost for the processing of the first resource and a second measure of the processing cost for the processing of the second resource is determined. One of the first resource and the second resource is selected based on at least one of the first measure and the second measure. The selected one of the first resource and the second resource is identified to the program component for processing.

Abstract: The parallel kinematic machine (PKM) trajectory planning method is operable via a data-driven neuro-fuzzy multistage-based system. Offline planning based on robot kinematic and dynamic models, including actuators, is performed to generate a large dataset of trajectories, covering most of the robot workspace and minimizing time and energy, while avoiding singularities and limits on joint angles, rates, accelerations and torques. The method implements an augmented Lagrangian solver on a decoupled form of the PKM dynamics in order to solve the resulting non-linear constrained optimal control problem. Using outcomes of the offline-planning, the data-driven neuro-fuzzy inference system is built to learn, capture to and optimize the desired dynamic behavior of the PKM. The optimized system is used to achieve near-optimal online planning with a reasonable time complexity. The effectiveness of the method is illustrated through a set of simulation experiments proving the technique on a 2-degrees of freedom planar PKM.

Abstract: A method of controlling a system that has a finite execution time in the optimization of a cost function: J = ? i = 1 N ? F ? ( u ? ( k + i | k ) , y ? ( k + i | k ) ) , where N is selected such that J is convergent; k+i is the time in the future after the passage of i time increments; u(k+i|k) and y(k+i|k) are restricted to values of the respective control variables u and performance variables y that are compatible with predetermined system operational constraints; and for each time increment i=1 . . . N, values for F(u(k+i|k), y(k+i|k)) are calculated using a system model M to determine y(k+i|k) for a plurality of respective discrete values of u(k+i|k) that are limited to and representatively sampling the range of possible values of u that are compatible with the predetermined system operational constraints, J being optimised by identifying the combination {u(k+1|k),u(k+2|k), . . .

Abstract: A production planning system for allocating production capacity to meet a demand includes an operational module and a simulating module. The operational module is for receiving demand inputs, calculating a consolidated demand based on the demand inputs, calculating and storing a production capacity, and creating a production plan. The simulating module includes a data retriever, a simulated data handler, and a simulating planner. The data retriever is for retrieving and storing consolidated demand and capacity data from the at least one operational processor. The simulated data handler is for receiving a simulated demand input and creating a simulated consolidated demand by adding the simulated demand input to the retrieved consolidated demand. The simulating planner is for creating a simulated production plan based on the simulated consolidated demand.

Abstract: System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective.

Abstract: In various energy systems which handle a plurality of types of energy, a method and device for operation scheduling for energy storage equipment are provided, which determines optimal operation of an energy storage equipment and improves the efficiency of the energy system overall. An energy storage equipment operation scheduling part 13 creates an energy storage equipment operation schedule, an energy generation equipment modified operation schedule, and an energy storage equipment modified operation schedule, based on three information items, which are the energy demand forecast information stored in a storage part D1, the energy generation equipment operation schedule stored in a storage part D2, and equipment connection information, and sends the created schedules to the equipment controller 20.

Abstract: Methods and systems are described for providing cost effective leak detection in a fluid network. Step testing procedures are represented by decision trees and associated expected costs are calculated. Selection of step testing procedures is optimized for low expected cost. The total expected cost rate for a network configuration may be calculated from the rate of leak occurrence and the optimal expected costs associated therewith. Network configuration changes may be recommended by optimizing for total expected cost rate for a fluid network.

Abstract: An approach for monitoring energy consumption and detecting preventive maintenance issues in a system having control loops and associated devices. Settling time and error value in a control loop may be indicative of the loop's efficiency. Error value may be a difference between a measurement of a parameter and a setpoint for the parameter. Degradation of a loop's efficiency may be an indication of increased energy consumption by the system. Such degradation may also be indicative of a future defect in a control loop or devices associated with the control loop. Thus, the present approach may provide for energy monitoring and preventive maintenance of the system.

Abstract: A method and apparatus for optimizing the operation of a single or multiple power generating units using advanced optimization, modeling, and control techniques. In one embodiment, a plurality of component optimization systems for optimizing power generating unit components are sequentially coordinated to allow optimized values determined by a first component optimization system to be fed forward for use as an input value to a subsequent component optimization system. A unit optimization system may be provided to determine goals and constraints for the plurality of component optimization systems in accordance with economic data. In one embodiment of the invention, a multi-unit optimization system is provided to determine goals and constraints for component optimization systems of different power generating units. Both steady state and dynamic models are used for optimization.