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1. 发明申请

US20090281820A1 METHOD AND SYSTEM TO QUANTIFY PERFORMANCE OF A POWER GENERATING SYSTEM 审中-公开
标题翻译：发电系统性能的定量方法和系统
公开(公告)号：US20090281820A1
公开(公告)日：2009-11-12
申请号：US12118807
申请日：2008-05-12
申请人： Abhinanda Sarkar , Vineel Chandrakanth Gujjar , Arungalai Anbarasu
发明人： Abhinanda Sarkar , Vineel Chandrakanth Gujjar , Arungalai Anbarasu
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q50/06 , Y04S50/14
摘要： A method for quantifying performance of a power generating system is provided. The method includes empirically determining an actual relationship between input of an uncontrollable resource and power output of the power generating system. The method also includes determining a desired relationship between input of an uncontrollable resource and power output of the power generating system. The method further includes comparing the actual relationship to the desired relationship. The method also includes determining a plurality of financial parameters for the power generating system based on the comparison.
摘要翻译：提供了一种用于量化发电系统的性能的方法。该方法包括经验地确定不可控资源的输入和发电系统的功率输出之间的实际关系。该方法还包括确定不可控资源的输入和发电系统的功率输出之间的期望的关系。该方法还包括将实际关系与期望的关系进行比较。该方法还包括基于该比较确定用于发电系统的多个财务参数。

2. 发明申请

US20090299780A1 METHOD AND APPARATUS FOR DETERMINING AND/OR PROVIDING POWER OUTPUT INFORMATION OF WIND TURBINE FARMS 审中-公开
标题翻译：确定和/或提供风力发电机组功率输出信息的方法和装置
公开(公告)号：US20090299780A1
公开(公告)日：2009-12-03
申请号：US12129560
申请日：2008-05-29
申请人： Abhinanda Sarkar , Vineel Chandrakanth Gujjar , Arungalai Anbarasu
发明人： Abhinanda Sarkar , Vineel Chandrakanth Gujjar , Arungalai Anbarasu
IPC分类号： G06Q10/00 , G01R21/00
CPC分类号： F03D7/048 , F03D17/00 , F05B2270/1033 , F05B2270/32 , F05B2270/321 , F05B2270/335 , F05B2270/802 , G06Q10/063 , Y02E10/723 , Y04S10/60
摘要： A computerized method for determining a power curve for a wind farm having a plurality of wind turbines and a meteorological mast (met mast) includes collecting measurement data points of at least wind speed and wind direction over time for each of the wind turbines and the met mast. The measurement data points include measured power output for each of the wind turbines. The method further includes removing measurement data points for wind turbines performing in a non-standard manner or that are unavailable to generate remaining measurement data points, statistically determining a power curve model for the wind farm using the remaining measurement data points, and displaying the power curve model for the wind farm.
摘要翻译：一种用于确定具有多个风力涡轮机和气象桅杆（遇到桅杆）的风力发电场的功率曲线的计算机化方法包括：为每个风力涡轮机和会议组合收集至少风速和风向的风向和风向的测量数据点桅杆测量数据点包括每个风力涡轮机的测量功率输出。该方法还包括去除以非标准方式执行的风力涡轮机的测量数据点，或者不可用于产生剩余测量数据点，使用剩余测量数据点统计确定风电场的功率曲线模型，并显示功率风力发电场的曲线模型。

3. 发明申请

US20080079263A1 METHOD AND APPARATUS FOR OPERATING WIND TURBINE GENERATORS 有权
标题翻译：运行风力发电机的方法和装置
公开(公告)号：US20080079263A1
公开(公告)日：2008-04-03
申请号：US11536385
申请日：2006-09-28
申请人： Mahesh Amritlal Morjaria , Rui Zhou , Amit Chandrakant Joshi , Abhinanda Sarkar , Vineel Chandrakanth Gujjar
发明人： Mahesh Amritlal Morjaria , Rui Zhou , Amit Chandrakant Joshi , Abhinanda Sarkar , Vineel Chandrakanth Gujjar
IPC分类号： F03D9/00
CPC分类号： F03D7/048 , F03D7/0284 , F05B2240/40 , F05B2260/8211 , F05B2270/335 , G06Q50/06 , Y02A30/12 , Y02E10/723 , Y04S10/54
摘要： A method of operating a wind farm that includes a plurality of wind turbine generators (WTGs) includes generating wind turbine generator (WTG) availability data for each WTG. The method also includes generating wide-area meteorological data for a first geographical region. The method further includes generating narrow-area meteorological forecast data for a second geographical region by transmitting at least a portion of the wide-area meteorological data to at least one resident narrow-area meteorological forecast algorithm. The first geographical region includes at least a portion of the second geographical region. The method also includes generating electric power production forecast data by using at least one resident electric power production forecast algorithm to manipulate the WTG availability data and the narrow-area meteorological forecast data.
摘要翻译：一种操作包括多个风力涡轮发电机（WTG）的风力发电场的方法包括为每个WTG生成风力涡轮发电机（WTG）可用性数据。该方法还包括为第一地理区域生成广域气象数据。该方法还包括通过将广域气象数据的至少一部分传送至至少一个常驻狭窄区域气象预测算法来生成第二地理区域的窄区域气象预报数据。第一地理区域包括第二地理区域的至少一部分。该方法还包括通过使用至少一个驻留电力生产预测算法来产生电力生产预测数据来操纵WTG可用性数据和窄区域气象预报数据。

4. 发明授权

US07523001B2 Method and apparatus for operating wind turbine generators 有权
标题翻译：运行风力发电机的方法和装置
公开(公告)号：US07523001B2
公开(公告)日：2009-04-21
申请号：US11536385
申请日：2006-09-28
申请人： Mahesh Amritlal Morjaria , Rui Zhou , Amit Chandrakant Joshi , Abhinanda Sarkar , Vineel Chandrakanth Gujjar
发明人： Mahesh Amritlal Morjaria , Rui Zhou , Amit Chandrakant Joshi , Abhinanda Sarkar , Vineel Chandrakanth Gujjar
IPC分类号： G06F19/00 , G06F17/40
CPC分类号： F03D7/048 , F03D7/0284 , F05B2240/40 , F05B2260/8211 , F05B2270/335 , G06Q50/06 , Y02A30/12 , Y02E10/723 , Y04S10/54
摘要： A method of operating a wind farm that includes a plurality of wind turbine generators (WTGs) includes generating wind turbine generator (WTG) availability data for each WTG. The method also includes generating wide-area meteorological data for a first geographical region. The method further includes generating narrow-area meteorological forecast data for a second geographical region by transmitting at least a portion of the wide-area meteorological data to at least one resident narrow-area meteorological forecast algorithm. The first geographical region includes at least a portion of the second geographical region. The method also includes generating electric power production forecast data by using at least one resident electric power production forecast algorithm to manipulate the WTG availability data and the narrow-area meteorological forecast data.
摘要翻译：一种操作包括多个风力涡轮发电机（WTG）的风力发电场的方法包括为每个WTG生成风力涡轮发电机（WTG）可用性数据。该方法还包括为第一地理区域生成广域气象数据。该方法还包括通过将广域气象数据的至少一部分传送至至少一个常驻狭窄区域气象预测算法来生成第二地理区域的窄区域气象预报数据。第一地理区域包括第二地理区域的至少一部分。该方法还包括通过使用至少一个驻留电力生产预测算法来产生电力生产预测数据来操纵WTG可用性数据和窄区域气象预报数据。

5. 发明授权

US07966331B2 Method and system for assessing and optimizing crude selection 有权
标题翻译：评估和优化粗选择的方法和系统
公开(公告)号：US07966331B2
公开(公告)日：2011-06-21
申请号：US10643191
申请日：2003-08-18
申请人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Craig Winslow , Michael Dion
发明人： Martha Gardner , Rajesh Tyagi , Thomas Repoff , Abhinanda Sarkar , Angshuman Saha , Shirley Au , Roy Wilson , Malcolm Craig Winslow , Michael Dion
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06Q10/04 , G06Q40/08
摘要： A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.
摘要翻译：提供了评估和优化粗选择的方法和系统。预测引擎使用来自数据库的数据来执行至少一个预测性能模型和/或至少一个风险评估模型，其被设计为在精炼过程中优化或改进精炼操作。预测引擎将对应于特定原油或原油混合物的输入关键原油信息，例如至少一个粗钢板，以及对应于特定炼油厂的炼油厂操作参数和/或条件，并且使用可取性度量来评估与数据的相似性数据库。基于所得到的产出，至少一个预测性能和/或至少一个风险评估模型使用输出来预测在精炼过程中使用特定炼油厂改进特定原油或粗混合物的性能或风险度量，问题的概率在精炼过程中发生的问题在整个精炼过程中的分布等

6. 发明申请

US20050222926A1 System, method and computer product for optimal pricing of a financial product 有权
标题翻译：系统，方法和计算机产品，用于金融产品的最优定价
公开(公告)号：US20050222926A1
公开(公告)日：2005-10-06
申请号：US10814698
申请日：2004-03-30
申请人： Abhinanda Sarkar , Debasis Bal , Awadhesh Kumar
发明人： Abhinanda Sarkar , Debasis Bal , Awadhesh Kumar
IPC分类号： G06Q40/00 , G06F17/60
CPC分类号： G06Q40/02 , G06Q40/00
摘要： System, method and computer program product for optimal pricing of financial products. Data related to the financial product is extracted from at least one data source. A structured data file is generated from the data. The structured data file comprises a plurality of attributes and a plurality of price parameters related to the financial product. The plurality of price parameters comprise a price conversion probability measure and a business measure parameter associated with the financial product. Then, the optimal price associated with the financial product is estimated based on the plurality of attributes, the plurality of parameters, the price conversion probability measure and the business measure parameter.
摘要翻译：系统，方法和计算机程序产品，用于金融产品的最优定价。从至少一个数据源提取与金融产品相关的数据。从数据生成结构化数据文件。结构化数据文件包括与金融产品相关的多个属性和多个价格参数。多个价格参数包括与金融产品相关联的价格转换概率测量和业务量度参数。然后，基于多个属性，多个参数，价格转换概率测量和业务量度参数来估计与金融产品相关联的最优价格。

7. 发明申请

US20110184779A1 DYNAMIC ON-LINE LEARNING SYSTEM FOR ELECTRONIC COUPONS USING ON-LINE AUCTIONS 审中-公开
标题翻译：使用在线拍卖的电子优惠券动态在线学习系统
公开(公告)号：US20110184779A1
公开(公告)日：2011-07-28
申请号：US13080346
申请日：2011-04-05
申请人： Parul A. Mittal , Abhinanda Sarkar , K. Balaji
发明人： Parul A. Mittal , Abhinanda Sarkar , K. Balaji
IPC分类号： G06Q10/00
CPC分类号： G06Q30/08 , G06Q30/02 , G06Q30/0202
摘要： A system, method, and computer program product implementing the method for generating promotional scheme parameters for issuing redeemable electronic coupons, wherein the method comprises automatically obtaining market demand data from defined sources of online auctions, conducting online auctions using defined parameters for specified goods and/or services to obtain market demand data, and storing and analyzing the market demand data obtained from the online auctions or the conducted auctions to estimate demand and calculate promotion scheme parameters for issue of redeemable electronic coupons.
摘要翻译：一种系统，方法和计算机程序产品，其实施用于产生用于发行可兑换电子优惠券的促销方案参数的方法，其中所述方法包括：从定义的在线拍卖来源自动获取市场需求数据，使用指定商品的定义参数进行在线拍卖和/ 或服务以获得市场需求数据，以及存储和分析从在线拍卖或进行的拍卖获得的市场需求数据以估计需求并计算可兑换电子券的发行方案参数。

8. 发明授权

US07483857B2 Online e-commerce transactions incorporating effects of uncertainty and risk factors 失效
标题翻译：在线电子商务交易涉及不确定性和风险因素的影响
公开(公告)号：US07483857B2
公开(公告)日：2009-01-27
申请号：US09901227
申请日：2001-07-09
申请人： Vipul Bansal , Abhinanda Sarkar
发明人： Vipul Bansal , Abhinanda Sarkar
IPC分类号： G06Q40/00
CPC分类号： G06Q30/02 , G06Q20/10 , G06Q40/04
摘要： The present invention relates to a method, system and computer program product for online negotiations and transactions for electronic commerce spanning international boundaries and includes means for incorporating the effects of the associated uncertainties and risks into decisions related to the assignment of items and the determination of their prices and further means for mitigation of some of these uncertainties and risks. These uncertainties and risk may include those originating from price changes, currency fluctuations, counterparty default, non-conformance to quality and quantity specifications and shipment and payment delays.
摘要翻译：本发明涉及一种用于在国际边界上进行电子商务的在线谈判和交易的方法，系统和计算机程序产品，并且包括将相关的不确定性和风险的影响纳入关于项目转让决定和价格和进一步减少这些不确定性和风险的手段。这些不确定性和风险可能包括源自价格变动，货币波动，对手违约，不符合质量和数量规格以及装运和付款延迟的因素。

9. 发明申请

US20070050288A1 System and method for integrating risk and marketing objectives for making credit offers 审中-公开
标题翻译：整合风险和营销目标制定信用报价的制度和方法
公开(公告)号：US20070050288A1
公开(公告)日：2007-03-01
申请号：US11216797
申请日：2005-08-31
申请人： Abhinanda Sarkar , Debasis Bal , Subrat Nanda
发明人： Abhinanda Sarkar , Debasis Bal , Subrat Nanda
IPC分类号： G06Q40/00 , G06Q30/00
CPC分类号： G06Q40/02 , G06Q30/0254 , G06Q30/0269 , G06Q40/025
摘要： A system for integrating business risk and marketing objectives into a unified business strategy for providing credit to one or more members of a target population is provided. The system comprises a database comprising risk data and marketing data associated with the members of the target population and a scoring model that receives the risk data and the marketing data from the database. The scoring model generates a set of risk scores and a set of marketing scores associated with the members of the target population over a range of additional credit that could be provided to the members of the target population. The system further comprises a network model and an optimization model. The network model collectively uses the risk scores and the marketing scores from the scoring model and generates a probability distribution of expected use of the credit over the range of additional credit that could be provided to the target population. The optimization model receives the distribution of expected use of the credit from the network model and determines the level of credit to offer the members of the target population in order to maximize a business measure subject to a set of business constraints.
摘要翻译：提供了将业务风险和营销目标整合到统一业务战略中以向目标人群的一个或多个成员提供信贷的系统。该系统包括数据库，其包括与目标人群的成员相关联的风险数据和营销数据，以及从数据库接收风险数据和营销数据的得分模型。评分模型产生一组风险评分和一组与目标人群成员相关的营销成绩，可以向目标人群的成员提供一系列额外信贷。该系统还包括网络模型和优化模型。网络模型共同使用来自评分模型的风险分数和营销分数，并产生可以向目标人群提供的额外信贷范围内信用预期使用的概率分布。优化模型接收来自网络模型的信用预期使用的分配，并确定向目标人群成员提供的信用级别，以便最大限度地利用一组业务限制的业务量度。

10. 发明授权

US06931351B2 Decision making in classification problems 有权
标题翻译：决策分类问题
公开(公告)号：US06931351B2
公开(公告)日：2005-08-16
申请号：US09839097
申请日：2001-04-20
申请人： Ashish Verma , Abhinanda Sarkar , Arpita Ghosh
发明人： Ashish Verma , Abhinanda Sarkar , Arpita Ghosh
IPC分类号： G06F7/00 , G06K9/62 , G06K9/68 , G10L15/08
CPC分类号： G06K9/6293
摘要： A method of classifying samples to one of a number of predetermined classes involves using a number of class models or classifiers to form order statistic for each classifier. A linear combination of the order statistic (L-statistic) is calculated to determine the confidence of that particular classifier, both in general and for that particular sample. Relative weights are then derived from these confidences, and used to calculate a weighted summation across all classifiers for each class of the likelihoods that a sample belongs to that class. The sample is classified in the class which has the associated weighted summation which is greatest in value.
摘要翻译：将样本分类为多个预定类别之一的方法涉及使用多个类模型或分类器来形成每个分类器的顺序统计量。计算顺序统计量（L统计量）的线性组合，以确定该特定分类器的一般和特定样本的置信度。然后从这些置信度中导出相对权重，并用于计算样本属于该类别的每个可能性类别的所有分类器的加权求和。样本被分类为具有最大值的相关加权求和的类。

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