PATENT CLAIM ANALYSIS

Application Number: 16100557
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["700", "291000"]

Abstract:
The present invention is generally directed to methods of disaggregating low resolution whole-house energy consumption data. In accordance with some embodiments of the present invention, methods may include steps of: receiving at a processor the low resolution whole house profile; selectively communicating with a first database including non-electrical information; selectively communicating with a second database including training data; and determining by the processor based on the low resolution whole house profile, the non-electrical information and the training data, individual appliance load profiles for one or more appliances.

Claim (Index 21):
A method for learning an energy consumption signature associated with a specific appliance from energy consumption interval data sampled ranging from minutely to hourly associated with a specific house, comprising:\n receiving at a processor the energy consumption interval data; communicating by the processor with a first database comprising non-electrical information; communicating by the processor with a second database comprising training data, the training data comprised at least in part of:\n high resolution energy consumption data, sampled periodically with periods of less than one minute, received from a plurality of homes associated with appliances at least some of which are the same type as the specific appliance; \n feedback information received from a user through an interactive user interface; \n determining a correlation between the energy consumption interval data and the training data; determining based on at least in part on the correlation that the specific appliance was running during the interval data; and identifying the energy consumption signature of the specific appliance.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 96.0
- Lexical Diversity: 1.62712
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13870838', '14159058', '15844513', '13366850', '14543824']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4511750541966334
- 35 USC 102 Novelty (BERT): 0.5381071523037598
- Combined Prediction Score: 0.4598682640073461
- Mean Citation Score: 304.4251500000001
- Max Citation Score: 401.13718
- Similarity Product: 372.6218988251102

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

Dataset: test