PATENT CLAIM ANALYSIS

Application Number: 15996829
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["307", "032000"]

Abstract:
A load control system for a building having a lighting load, a window, and a heating and cooling system comprises a lighting control device, a daylight control device, and a temperature control device operable to be controlled so as to decrease a total power consumption of the load control system in an energy-savings mode. The energy-savings mode can be manually overridden in response to actuation of the actuator of an input control device, such that the load control system enters a manual mode for manually adjusting the loads controlled by the lighting control device, the daylight control device, and the temperature control device. The load control system is operable to automatically return to the energy-savings mode at a time after the load control system entered the manual mode.

Claim (Index 11):
The load control system of  claim 10 , wherein, to pre-condition the building prior to the upcoming demand response event, the controller is configured to:\n decrease the setpoint temperature when the heating and cooling system is presently cooling the building; and increase the setpoint temperature when the heating and cooling system is presently heating the building.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 94.0
- Lexical Diversity: 2.42105
- Patent Class: 307.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13234758', '14605054', '13727043', '13195914', '13234573']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8973192635820798
- 35 USC 102 Novelty (BERT): 0.6055134359442818
- Combined Prediction Score: 0.8681386808183
- Mean Citation Score: 558.3089120000002
- Max Citation Score: 578.1578
- Similarity Product: 502.12411871862406

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