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1.发明授权公开(公告)号：US11537957B2
公开(公告)日：2022-12-27
申请号：US16793206
申请日：2020-02-18
发明人： Venkata Ramakrishna Padullaparthi , Venkatesh Sarangan , Anand Sivasubramaniam , Anindya Pradhan
摘要： The present disclosure provides a method and a system for estimating capacity and usage pattern of behind-the-meter energy storage in electric networks. Conventional techniques on estimating an effective capacity of behind-the-meter energy storage of a consumer, in presence of distributed energy generation units is limited, computationally intensive and provide inaccurate prediction. The present disclosure provides an accurate estimate of the effective capacity and usage pattern of behind-the-meter energy storage of a target consumer utilizing data samples received from a utility in presence of one or more distributed energy generation units, using an energy balance equation with less computation and accurate prediction. Based on accurate estimation of the effective capacity and usage pattern, the utility may plan for proper infrastructure to meet power demands of the consumers.
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公开(公告)号：US11301941B2
公开(公告)日：2022-04-12
申请号：US15804337
申请日：2017-11-06
发明人： Kundan Kandhway , Arunchandar Vasan , Srinarayana Nagarathinam , Venkatesh Sarangan , Anand Sivasubramaniam
IPC分类号： G06Q50/06 , G06Q30/02 , G06F30/13 , G06F119/08
摘要： Electrical utilities offer incentives to customers to reduce consumption during periods of demand-supply mismatch. A building's participation in demand response (DR) depends both on its ability (due to building constraints), and its willingness (a function of incentive) to reduce electricity. Customers prefer a large incentive whereas a utility would want to minimize the revenue outflow to achieve a target reduction. Systems and methods of the present disclosure identify optimal incentive from the utility's perspective reflecting this trade-off. A model is built to estimate the demand response potential (DRP) of a building for a given incentive offered by the utility. The models for individual buildings are used to characterize the behavior of an ensemble of buildings. The utility may then decide optimum incentives that should be offered to achieve a target DR, using the associated DRP.
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公开(公告)号：US20160349141A1
公开(公告)日：2016-12-01
申请号：US15112246
申请日：2015-02-17
CPC分类号： G01M3/2807 , E03B1/02 , E03B7/003 , G01F1/00
摘要： Described herein, are methods and systems for locating a leak in a water distribution network. According to an implementation, a leak situation in the water distribution network is detected based on a flow difference value between an actual flow value and a predicted flow value of an inlet flow meter of the water distribution network at at least one time interval. Leak signature values of demand nodes in the water distribution network at the at least one time interval are determined. A leak signature value of a respective demand node at a respective time interval is determined based on centrality metrics, the predicted flow value at the respective time interval, and static physical properties related to the water distribution network. At least one possible leak node is identified based on the flow difference value and the leak signature values of the demand nodes at the at least one time interval.
摘要翻译： 这里描述的是用于定位配水网络中的泄漏的方法和系统。 根据实施方式，基于水分配网络的入口流量计的实际流量值和预测流量值之间的流量差在至少一个时间间隔来检测配水网络中的泄漏情况。 确定在至少一个时间间隔的配水网络中的需求节点的签名值。 基于中心度量，各时间间隔的预测流量值和与配水网络相关的静态物理特性来确定相应时间间隔处的相应需求节点的泄漏签名值。 基于在至少一个时间间隔的需求节点的流量差值和泄漏签名值来识别至少一个可能的泄漏节点。
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公开(公告)号：US11538100B2
公开(公告)日：2022-12-27
申请号：US16827800
申请日：2020-03-24
发明人： Avinash Achar , Abhay Pratap Singh , Venkatesh Sarangan , Akshaya Natarajan , Easwara Subramanian , Sanjay Purushottam Bhat , Yogesh Bichpuriya
摘要： Sum of bid quantities (across price bands) placed by generators in energy markets have been observed to be either constant OR varying over a few finite values. Several researches have used simulated data to investigate desired aspect. However, these approaches have not been accurate in prediction. Embodiments of the present disclosure identified two sets of generators which needed specialized methods for regression (i) generators whose total bid quantity (TBQ) was constant (ii) generators whose total bid quantity varied over a few finite values only. In first category, present disclosure used a softmax output based ANN regressor to capture constant total bid quantity nature of targets and a loss function while training to capture error most meaningfully. For second category, system predicts total bid quantity (TBQ) of a generator and then predicts to allocate TBQ predicted across the various price bands which is accomplished by the softmax regression for constant TBQs.
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公开(公告)号：US11486718B2
公开(公告)日：2022-11-01
申请号：US15909566
申请日：2018-03-01
IPC分类号： G08G1/00 , G08G1/01 , G01C21/34 , G08G1/0968
摘要： A system and method for predicting travel time of a vehicle on routes of unbounded length within arterial roads. It collects historical information from probe vehicles positions using GPS technology in a periodic fashion and the sequence of links traversed between successive position measurements. Further, it collects information of neighborhood structure for each link within the arterial roads network. Any of the existing conditional probability distribution functions could be used to capture the spatio-temporal dependencies between each link of the arterial network and its neighbors. It learns the parameters of this data driven probabilistic model from historical information of probe vehicle trajectories traversed within the arterial roads network using an associated expectation maximization method. Finally it predicts travel time of vehicles on routes of unbounded length in a novel fashion within the network of arterial roads using the learnt parameters and current real time information of trajectories of vehicle.
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公开(公告)号：US10564195B2
公开(公告)日：2020-02-18
申请号：US15057821
申请日：2016-03-01
IPC分类号： G01R22/06
摘要： A technique for energy sample forecasting of heating, venting and air conditioning-refrigeration (HVAC-R) systems is disclosed. In an example, a first expected energy sample of a HVAC-R system at a first time period is forecasted by modelling actual energy samples of the HVAC-R system at previous time periods using a statistically-based seasonal-autoregressive integrated moving average (SARIMA) model. Further, an anomaly is detected at the first time period when deviation between the first expected energy sample and an actual energy sample at the first time period is greater than a dynamic context sensitive threshold. Also, an expected energy sample at next time period is forecasted by modelling a second expected energy sample of the HVAC-R system at the first time period using the statistically-based SARIMA model upon detecting anomaly. The second expected energy sample is forecasted by modelling the actual energy samples at the previous time periods using a physical model.
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公开(公告)号：US10444712B2
公开(公告)日：2019-10-15
申请号：US15208022
申请日：2016-07-12
发明人： Srinarayana Nagarathinam , Shiva R Iyer , Venkata Ramakrishna P , Arunchandar Vasan , Venkatesh Sarangan , Anand Sivasubramaniam
IPC分类号： G05B13/04 , G05B19/042 , F24F11/30 , F24F11/62 , G05B15/02 , F24F110/10 , F24F110/20 , F24F110/64 , F24F120/10 , F24F140/50 , F24F130/30 , F24F11/64 , F24F11/54 , F24F11/46
摘要： A system and method for optimizing energy consumption in a plurality of air handling units (AHUs) in a zone is provided. The system comprising a zone thermal unit that is configured to obtain a first set of input parameters including an internal heat gains, a surface convective loads, an intra-zone mixing, a supply air temperature, a second set of input parameters including internal moisture gains, a supply humidity ratio, and a third set of input parameters including an air contaminant concentration and an ambient contaminant concentration of the AHUs and generates a first set of output parameters including a zone temperature, a humidity ratio and an air concentration. The system further includes an optimizer that is configured to generate a second set of output parameters including an optimum combination of AHU flow rates for the AHUs based on at least one of the first set of output parameters.
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公开(公告)号：US20190143829A1
公开(公告)日：2019-05-16
申请号：US16020672
申请日：2018-06-27
发明人： Arvind RAMANUJAM , Pandeeswari Indumathi Sankaranarayanan , Arunchandar Vasan , Rajesh Jayaprakash , Venkatesh Sarangan , Anand Sivasubramaniam
摘要： Vehicle-to-Grid (V2G) technologies are being adopted to reduce peak demand and to take over as energy sources during grid instability. It is necessary to estimate attributes of electric vehicle trips and residual battery charge in order to correctly predict spatio-temporal availability of energy from EVs to form a micro grid. However, it may not be feasible to get the required attributes for all vehicles in a city-scale traffic scenario. Embodiments of the present disclosure and system address the problem of accurately estimating the local energy reserve that is available from parked EVs during a given time of the day. In addition, the system also determines which neighborhoods have the potential to form micro grids using the parked EVs during a given time period. This will help grid operator(s) to plan and design smart grids which can create EV-powered micro grids in neighborhoods during periods of peak demand or during disruptions.
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公开(公告)号：US11609156B2
公开(公告)日：2023-03-21
申请号：US16578061
申请日：2019-09-20
发明人： Srinarayana Nagarathinam , Venkata Ramakrishna P , Arunchandar Vasan , Venkatesh Sarangan , Anand Sivasubramaniam
IPC分类号： G06Q10/04 , G01M99/00 , G06Q10/0639
摘要： Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause. Tracking the performance of assets over time greatly helps in operations and maintenance, and thus reducing downtime of systems and accordingly the operating costs.
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10.发明授权公开(公告)号：US11409925B2
公开(公告)日：2022-08-09
申请号：US16843031
申请日：2020-04-08
发明人： Yogesh Kumar Bichpuriya , Venkatesh Sarangan , Sivaramakrishnan Chandrasekaran , Narayanan Rajagopal , Nilesh Sadashiv Hiremath , Vinodhkanna Jayaraman
摘要： This disclosure relates to methods and systems for simulation of electricity value ecosystem using agent based modeling approach. State-of-the-art methods utilize simulation tools to support decision making that do not model agents own behaviour and its response to other agents based on an interaction, thereby unable to analyse complex interactions in the electricity value ecosystem. The present disclosure provides a generalized integrated simulation platform which provides dynamic configurability to simulate a plurality of user requirements associated with the electricity value eco-system using a causal diagram which is further used to identify a plurality of agents. Further, a plurality of a plurality of models and processes for the plurality of agents are determined or generated based on their availability in a repository. The causal diagram is refined in accordance with one or more constraints which supports in making a better and informed decision considering changing dynamics of the plurality of agents.
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