# Jayant R. Kalagnanam, Tarrytown US

## Jayant R. Kalagnanam, Tarrytown, NY US

Patent application number | Description | Published |
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20080215511 | SYSTEM AND METHOD FOR AUTOMATED PART-NUMBER MAPPING - Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process. | 09-04-2008 |

20080300705 | INTEGRATION OF JOB SHOP SCHEDULING WITH DISCRETE EVENT SIMULATION FOR MANUFACTURING FACILITIES - A method and system for integrating job shop scheduling with discrete event simulation for manufacturing facilities are provided. In one aspect a simulator simulates discrete events of a facility using a job schedule generated by a scheduler. The simulator simulates the facility based on one or more local rules, one or more resources, and one or more parameters associated with said locals rules and said resources. The simulator further models said one or more parameters as random variables and using said random variables in its simulation of the facility. The scheduler receives feedback based on output from the simulating step. The feedback includes at least an instruction to the scheduler to include at least one of said one or more resource and to change said one or more parameters based on said modeling of said one or more parameters as random variables. The scheduler uses the feedback for generating an updated schedule. | 12-04-2008 |

20100131329 | METHOD AND SYSTEM FOR SMART METER PROGRAM DEPLOYMENT - A method, system and article of manufacture are disclosed for modeling a plan for deployment of smart meters in a plurality of locations that are attached to a grid operated by an energy provider that supplies energy to said locations, wherein the smart meters are used to measure the energy supplied by the energy provider to said locations. The method comprises the steps of using a market diffusion model to create a time-varying user adoption profile, including estimating the time lagged benefits realized from deployment of the smart meters; and estimating a response in the demand for said energy due to adoption of the smart meters. A program is used to capture the time-lagged benefits and a given set of constrains for a chosen planning time horizon to develop a meter deployment plan across the various locations and over that planning horizon. | 05-27-2010 |

20110276514 | EVALUATING THE QUALITY AND RISK-ROBUSTNESS OF AN ENERGY GENERATION CAPACITY RESOURCE PLAN UNDER INHERENT UNCERTAINTIES IN ENERGY MARKETS AND CARBON REGULATORY REGIME - The present invention includes a computing system for evaluating a quality and risk-robustness of a utility company's capacity resource plan (CRP). The computing system computes a net present value of a total cost distribution of the CRP. The computing system calculates a standardized risk measure defined over the net present value. The computing system computes a resource plan that minimizes the standardized risk measure. Then, the computing system compares the standardized risk measure and the resource plan. | 11-10-2011 |

20110282475 | EFFECTIVE CYCLE TIME MANAGEMENT EMPLOYING A MULTI-HORIZON MODEL - Cycle time and throughput of a manufacturing facility is effectively manages by a control system that employs a combination of a long-term horizon model and at least one short-term horizon model to generate control signals for a set of machines in a manufacturing facility. The long-term horizon model determines long-term average time allocation percentage for each machine for a given set of throughput targets and cycle time targets for products to be manufactured. Each of the at least one short-term horizon model determines queues for immediate use at processing tools, while the queues are subjected to a secondary adjustment based on the time allocation constraints generated by the long-term horizon model. The combination of the long-term and the at least one short-term horizon models provides a stable long-term proactive WIP bubble-management as well as short-term WIP bubble management. | 11-17-2011 |

20120078687 | SYSTEM AND METHOD FOR LOWEST COST AGGREGATE ENERGY DEMAND REDUCTION - A method, apparatus and computer program product for determining lowest cost aggregate energy demand reduction at multiple network levels such as distribution and feeder networks. An algorithm for an optimal incentive mechanism offered to energy customers (e.g. of a utility power entity) that accounts for heterogeneous customer flexibility in load reduction, with the demand response realized via the utility's rebate signal and, accounts for temporal aspects of demand shift in response for rebates. A mathematical formulation of a cost minimization problem is solved to provide incentives for customers to reduce their demand. A gradient descent algorithm is used to solve for the optimal incentives customized for individual end users. | 03-29-2012 |

20120150489 | MULTI-STEP TIME SERIES PREDICTION IN COMPLEX INSTRUMENTED DOMAINS - A system, method and computer program product for improving a manufacturing or production environment. The system receives two or more time series data having values that represent current conditions of the manufacturing or production environment as inputs. The system determines one or more different regimes in the received two or more time series data. The system predicts future or unmeasured values of the received two or more time series data in the determined different regimes. The future or unmeasured values represent future conditions of the manufacturing or production environment. | 06-14-2012 |

20120173300 | INFRASTRUCTURE ASSET MANAGEMENT - An approach for infrastructure asset management is provided. This approach comprises an end-to-end analytics driven maintenance approach that can take data about physical assets and additional external data, and apply advanced analytics to the data to generate business insight, foresight and planning information. Specifically, this approach uses a maintenance analysis tool, which is configured to: receive data about a set of physical assets of an infrastructure, and analyze the data about the set of physical assets to predict maintenance requirements for each of the set of physical assets. The maintenance analysis tool further comprises an output component configured to generate a maintenance plan based on the predicted maintenance requirements for each of the set of physical assets. | 07-05-2012 |

20120185106 | INTEGRATION OF DEMAND RESPONSE AND RENEWABLE RESOURCES FOR POWER GENERATION MANAGEMENT - System and method of solving, in a single-period, an optimal dispatching problem for a network of energy generators connected via multiple transmission lines, where it is sought to find the lowest operational cost of dispatching of various energy sources to satisfy demand. The model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. The method considers demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of the optimization model consist of the dispatching order and dispatching amount energy units at generators together with the rebate signals sent to end-users at each node of the network under a demand response policy. Numerical experiments based on an analysis of representative data illustrate the effectiveness of demand response as a hedging option. | 07-19-2012 |

20120221265 | SYSTEMS AND METHODS FOR PHASE IDENTIFICATION - Described herein are methods, systems, apparatuses and products for phase determination in an electricity grid. An aspect provides for determining phase for at least one electric grid device via receiving power consumption measurements derived from electricity grid devices connected in the electricity grid, comparing, over a series of time intervals, a total power consumed; and determining a phase for at least one electricity grid device. | 08-30-2012 |

20120323353 | ALGORITHMIC FRAMEWORK FOR THE INTEGRATED OPTIMIZATION OF HOT STRIP MILL AND UPSTREAM MOLTEN METAL OPERATIONS FOR A LARGE-SCALE STEEL MANUFACTURING PLANT - A method and system for optimizing modules of a steel manufacturing process includes a plurality of manufacturing modules for a manufacturing process. Each of the modules have a plurality of steps. The plurality of modules include at least an upstream module, a casting module, and a downstream module. Each of the plurality of modules have parameters, and include at least one variable event. The variable event is adjustable for optimization of the manufacturing process while the parameters are being maintained for each of the plurality of modules. A communication system is used for exchanging information between the modules while the manufacturing process is occurring to adjust the at least one variable event for optimizing the manufacturing process. | 12-20-2012 |

20130018517 | SOLVING LARGE-SCALE SECURITY-CONSTRAINED ECONOMIC DISPATCH PROBLEM IN REAL-TIMEAANM Kalagnanam; Jayant R.AACI TarrytownAAST NYAACO USAAGP Kalagnanam; Jayant R. Tarrytown NY USAANM Phan; DungAACI OssiningAAST NYAACO USAAGP Phan; Dung Ossining NY US - A system, a method and a computer program product for determining an amount of an electric power to be generated in an electric power system and determining a total cost for generating the amount of electric power while satisfying at least one contingency constraint and one or more customer request. The system creates an optimization problem for calculating amount of the electric power to be generated and a total cost for generating the calculated amount of the electric power while meeting the at least one contingency constraint. The system runs the optimization problem in real-time. The system outputs, from the optimization problem, an output specifying the calculated amount of the electric power and the total cost to generate the calculated amount of the electric power. | 01-17-2013 |

20130041705 | DISTRIBUTION NETWORK MAINTENANCE PLANNING - A system, method and computer program product for maintaining an infrastructure of components. The system receives structured data, unstructured data, and infrastructure data from a database. The system runs at least one statistical and optimization modeler with one or more of: the received structured data, the received unstructured data and the received infrastructure data, in order to calculate a health index of at least one component of the infrastructure. The health index represents a health attribute of the at least one component. The system establishes at least one maintenance plan of the infrastructure, based on the calculated health index. Each established maintenance plan is associated with at least one health index. The system compares health indices of the at least one established maintenance plan. The system selects a plan, among the at least one established maintenance plan, whose health index is a maximum among the compared health indices. | 02-14-2013 |

20130238530 | SYSTEMS AND METHODS FOR GENERATING WIND POWER SCENARIOS FOR WIND-POWER-INTEGRATED STOCHASTIC UNIT COMMITMENT PROBLEMS - The present disclosure relates generally to systematic algorithms (and associated systems and methods) that take a forecast model as input and produce a discrete probability distribution as output, using scenario reduction ideas from stochastic programming. In one example, an algorithm (and associated system and method) creates scenarios sequentially for each time period, leading to a scenario tree. | 09-12-2013 |

20130238546 | SYSTEMS AND METHODS FOR SOLVING LARGE SCALE STOCHASTIC UNIT COMMITMENT PROBLEMS - The present disclosure relates generally to computational solution algorithms (and associated systems and methods) applied to a stochastic unit commitment problem. In one example, the computational solution algorithms (and associated systems and methods) may be applied to the energy industry. | 09-12-2013 |