公开(公告)号：US20190296547A1

公开(公告)日：2019-09-26

申请号：US16307369

申请日：2016-07-01

Applicant: Intel Corporation

Inventor： Damian Kelly ,  David Boundy

IPC: H02J3/00 ,  G06F16/2455 ,  G06N20/00 ,  G06F17/50

Abstract: Systems and a method for forecasting data at noninstrumented substations from data collected at instrumented substations is provided. An example method includes determining a cluster id for a noninstrumented substation, creating a model from data for instrumented substations having the cluster id, and forecasting the data for the noninstrumented station from the model.

公开(公告)号：US11025058B2

公开(公告)日：2021-06-01

申请号：US16584184

申请日：2019-09-26

Applicant: Intel Corporation

Inventor： David Boundy ,  Michael O'Reilly ,  David Relihan ,  Amit Umashankar Prasad

IPC: H02J3/00 ,  H02J13/00 ,  G05B13/02 ,  G05B13/04

Abstract: Systems and techniques for tolerance-based intelligent edge network energy delivery are described herein. A flexibility metric may be calculated for a node of the edge network. The flexibility metric of the node and flexibility metrics of a set of additional nodes of the edge network may be ranked to create a set of flexibility ranked edge nodes. A notification may be received of a demand response event. A candidate node subset may be identified from the set of flexibility ranked nodes based on requirements of the demand response event and a ranked order the set of flexibility ranked nodes. A demand response command may be transmitted to the candidate node subset upon determining that the candidate node subset satisfies the requirements of the demand response event. The demand response command may cause nodes of the candidate node subset to alter energy consumption for a time period of demand response event.

公开(公告)号：US10852759B2

公开(公告)日：2020-12-01

申请号：US16224852

申请日：2018-12-19

Applicant: Intel Corporation

Inventor： David Boundy ,  David Relihan ,  Michael O'Reilly

IPC: G05D3/12 ,  G05D5/00 ,  G05D9/00 ,  G05D11/00 ,  G05D17/00 ,  G05F1/66 ,  G06Q10/06 ,  H02J3/14 ,  G06Q50/06 ,  H02J3/00

Abstract: Techniques and mechanisms for determining constraints to be imposed on resource utilization by customers of an electric utility. In an embodiment, flexibility metrics are determined each for a different respective customer, the flexibility metrics each indicating a respective difference between a metric of resource utilization, and a respective constraint which is imposed on that resource utilization. The customers are ranked, relative to one another, based on the flexibility metrics, where the ranking is used as a basis for selecting one or more customers to accommodate a change to a power delivery service of the electric utility. In another embodiment, one or more updated utilization constraints are imposed each by a respective customer of one or more selected customers.

公开(公告)号：US11101652B2

公开(公告)日：2021-08-24

申请号：US16307369

申请日：2016-07-01

Applicant: Intel Corporation

Inventor： Damian Kelly ,  David Boundy

IPC: G06F11/30 ,  H02J3/00 ,  G06N20/00 ,  G06F16/2455 ,  H04L29/08 ,  G06F11/34 ,  G06F30/20 ,  G01W1/10

Abstract: Systems and a method for forecasting data at noninstrumented substations from data collected at instrumented substations is provided. An example method includes determining a cluster id for a noninstrumented substation, creating a model from data for instrumented substations having the cluster id, and forecasting the data for the noninstrumented station from the model.

公开(公告)号：US20200021110A1

公开(公告)日：2020-01-16

申请号：US16584184

申请日：2019-09-26

Applicant: Intel Corporation

Inventor： David Boundy ,  Michael O'Reilly ,  David Relihan ,  Amit Umashankar Prasad

IPC: H02J3/00 ,  H02J13/00 ,  G05B13/02 ,  G05B13/04

Abstract: Systems and techniques for tolerance-based intelligent edge network energy delivery are described herein. A flexibility metric may be calculated for a node of the edge network. The flexibility metric of the node and flexibility metrics of a set of additional nodes of the edge network may be ranked to create a set of flexibility ranked edge nodes. A notification may be received of a demand response event. A candidate node subset may be identified from the set of flexibility ranked nodes based on requirements of the demand response event and a ranked order the set of flexibility ranked nodes. A demand response command may be transmitted to the candidate node subset upon determining that the candidate node subset satisfies the requirements of the demand response event. The demand response command may cause nodes of the candidate node subset to alter energy consumption for a time period of demand response event.