1. A recording apparatus for recording a duplicate of a product onto a recording medium, the product being a copyrighted digital product having a copy attribute embedded as a watermark thereon, comprising:
an acquiring unit operable to acquire the copy attribute embedded on the product;
a changing unit operable to change the acquired copy attribute into a copy attribute showing no more copy when the acquired copy attribute shows one generation copy;
a reading unit operable to read from the recording medium at least a part of medium ID information recorded on the recording medium in an unalterable state; and
a recording unit operable to record onto the recording medium the duplicate that has both the copy attribute showing no more copy and the read part of medium ID information embedded as a watermark thereon,
wherein the read part of medium ID information is embedded as part of the watermark if the copy attribute is changed from one generation copy to no more copy.
2. The recording apparatus of claim 1, wherein the recording medium is an optical disc and the part of medium ID information read by the reading unit is information recorded on a burst cutting area of the optical disc.
3. The recording apparatus of claim 2, wherein the information recorded on the burst cutting area of the optical disc is a lot number assigned during a manufacture of the optical disc.
4. The recording apparatus of claim 1, further comprising:
a storing unit operable to store one of (a) an area code of the recording apparatus, (b) an area code of a package media that recorded the product, and (c) an area code of a provider that supplied the product, wherein
the stored area code is embedded, together with both the copy attribute and the part of medium ID information, as a watermark on the duplicate.
5. The recording apparatus of claim 1, further comprising:
a generating unit operable to generate reproduction quality information showing restrictions relating to a reproduction quality of the duplicate, wherein
the generated reproduction quality information is embedded, together with both the copy attribute and the part of medium ID information, as a watermark on the duplicate.
6. A computer-readable medium embodying a program for instructing a computer to record a duplicate of a product onto a recording medium, the product being a copyrighted digital product having a copy attribute embedded as a watermark thereon, and the program instructing the computer to perform a method comprising:
acquiring the copy attribute embedded on the product;
changing the acquired copy attribute into a copy attribute showing no more copy when the acquired copy attribute shows one generation copy;
reading from the recording medium at least a part of medium ID information recorded on the recording medium in an unalterable state; and
recording onto the recording medium the duplicate that has both the copy attribute showing no more copy and the read part of medium ID information embedded as a watermark thereon,
wherein the read part of medium ID information is embedded as part of the watermark if the copy attribute is changed from one generation copy to no more copy.
7. The computer-readable medium of claim 6, wherein the recording medium is an optical disc, and the part of medium ID information read during said reading is information recorded on a burst cutting area of the optical disc.
8. The computer-readable medium of claim 7, wherein the information recorded on the burst cutting area of the optical disc is a lot number assigned during a manufacture of the optical disc.
9. The computer-readable medium of claim 6, the computer comprising:
a storing unit operable to store one of (a) an area code of the recording apparatus, (b) an area code of a package media that recorded the product, and (c) an area code of a provider that supplied the product, wherein
the stored area code is embedded, together with both the copy attribute and the part of medium ID information, as a watermark on the duplicate.
10. The computer-readable medium of claim 7, the program further instructing the computer to perform a method comprising:
generating reproduction quality information showing restrictions relating to a reproduction quality of the duplicate, wherein
the generated reproduction quality information is embedded, together with both the copy attribute and the part of medium ID information, as a watermark on the duplicate.
11. A recording method for recording a duplicate of a product onto a recording medium, the product being a copyrighted digital product having a copy attribute embedded as a watermark thereon, the method comprising:
acquiring the copy attribute embedded on the product;
changing the acquired copy attribute into a copy attribute showing no more copy when the acquired copy attribute shows one generation copy;
reading from the recording medium at least a part of medium ID information recorded on the recording medium in an unalterable state; and
recording onto the recording medium the duplicate that has both the copy attribute showing no more copy and the read part of medium ID information embedded as a watermark thereon,
wherein the read part of medium ID information is embedded as part of the watermark if the copy attribute is changed from one generation copy to no more copy.
12. A recording apparatus for recording a duplicate of a product onto a recording medium, the product being a copyrighted digital product having a copy attribute attached thereon, comprising:
an acquiring unit operable to acquire the copy attribute embedded on the product;
a changing unit operable to change the acquired copy attribute into a copy attribute showing no more copy when the acquired copy attribute shows one generation copy;
a reading unit operable to read from the recording medium at least a part of medium ID information recorded on the recording medium in an unalterable state; and
a recording unit operable to record onto the recording medium the duplicate that has both the copy attribute showing no more copy and the read part of medium ID information embedded as a watermark thereon,
wherein the read part of medium ID information is embedded as part of the watermark if the copy attribute is changed from one generation copy to no more copy.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method comprising:
obtaining energy consumption information representative of energy consumption behaviors of multiple customers;
grouping the multiple customers into multiple different clusters based on the consumption behaviors of the multiple customers; and
generating an energy consumption model for each different cluster to enable forecasting of energy demand of the multiple customers.
2. The method of claim 1 wherein the energy consumption information includes a percentage of times a customer opts out from a demand response (DR) event.
3. The method of claim 1 wherein the energy consumption information includes historical thermostat telemetry for a customer.
4. The method of claim 1 wherein the energy consumption information includes weather information data analysis for a customer.
5. The method of claim 1 wherein the energy consumption information includes a sum of electric heatingcooling status throughout a typical day of a customer.
6. The method of claim 1 wherein the energy consumption information includes geographical location.
7. The method of claim 1 wherein each customer is assigned a customer id, and each cluster is assigned a cluster id, and wherein each customer id is mapped to a cluster id.
8. The method of claim 7 and further comprising:
obtaining a load modification criterion;
using an energy forecaster to run simulations of the effect of DR signals on customers selected from different clusters; and
sending DR signals to customers based on the simulations.
9. The method of claim 1 and further comprising:
predicting a response for a typical customer in each of multiple clusters based on the model for each cluster; and
aggregating the responses to determine overall consumption of the multiple clusters.
10. A method comprising:
forming multiple clusters of energy utilizing customers based on the customer behavior;
identifying a model for each of the multiple clusters that predicts energy utilization of a typical customer in each of the multiple clusters responsive to a demand response event; and
using the clusters and models to generate and simulate multiple scenarios of issuing demand response events and predict energy utilization for each scenarios in order to find a scenario that meets a desired energy load modification criteria.
11. The method of claim 10 wherein the energy consumption information includes a percentage of times a customer opts out from a demand response (DR) event.
12. The method of claim 10 wherein the energy consumption information includes historical thermostat telemetry for a customer.
13. The method of claim 10 wherein the energy consumption information includes weather information data analysis for a customer.
14. The method of claim 10 wherein the energy consumption information includes a sum of electric heatingcooling status throughout a typical day of a customer.
15. The method of claim 10 wherein the energy consumption information includes geographical location.
16. The method of claim 10 wherein each customer is assigned a customer id, and each cluster is assigned a cluster id, and wherein each customer id is mapped to a cluster id.
17. A device comprising:
a processor;
a memory device coupled to the processor and having a program stored thereon for execution by the processor to:
obtain energy consumption information representative of energy consumption behaviors of multiple customers;
group the multiple customers into multiple different clusters based on the consumption behaviors of the multiple customers; and
generate an energy consumption model for each different cluster to enable forecasting of energy demand of the multiple customers.
18. The device of claim 17 wherein the energy consumption information includes a percentage of times a customer opts out from a demand response (DR) event, and wherein the energy consumption information includes historical thermostat telemetry for a customer.
19. The device of claim 17 wherein the program is further executed on the processor to:
obtain a load modification criterion;
use an energy forecaster to run simulations of the effect of DR signals on customers selected from different clusters; and
send DR signals to customers based on the simulations.
20. The device of claim 17 wherein the program is further executed on the processor to:
predict a response for a typical customer in each of multiple clusters based on the model for each cluster; and
aggregate the responses to determine overall consumption of the multiple clusters.