PATENT CLAIM ANALYSIS

Application Number: 15903596
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["700", "291000"]

Abstract:
A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a machine learning model analysis on each set to yield machine learning model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.

Claim (Index 1):
A demand response dispatch system, comprising:\n a building lag optimizer, configured to receive identifiers for buildings participating in a demand response program, and configured to generate energy use data sets for each of said buildings, each of said energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and configured to perform a machine learning model analysis on said each of said energy use data sets to yield corresponding machine learning model parameters and a corresponding residual, and configured to determine a least valued residual from all residuals yielded, said least valued residual indicating a corresponding energy lag for said each of said buildings, and machine learning model parameters that correspond to said least valued residual, and wherein said corresponding energy lag describes a transient energy consumption period preceding a change in outside temperature; a dispatch processor, coupled to said building lag optimizer, configured to receive a plurality of energy lags, each corresponding to one of said buildings, and configured to generate a dispatch schedule for a demand response program event according to a prioritization of said plurality of energy lags; and a dispatch control element, coupled to said dispatch processor, configured to control a specified load shedding by performing load shedding actions in the order provided by said dispatch schedule, wherein said dispatch schedule directs for dispatch of ones of said buildings having greater energy lags prior to others of said buildings having lesser energy lags.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 2.23944
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15903533', '15903651', '14674021', '14984706', '14984612']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5122511198582465
- 35 USC 102 Novelty (BERT): 0.6001993329732132
- Combined Prediction Score: 0.5210459411697431
- Mean Citation Score: 525.6411999999998
- Max Citation Score: 530.6713
- Similarity Product: 500.443826990342

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test