Prosecution Insights
Last updated: April 19, 2026
Application No. 18/558,012

AN ELECTRIC LOAD NETWORK AND METHOD FOR ADJUSTING AN OPERATION FREQUENCY OF AN ELECTRICITY GRID IN REAL TIME

Non-Final OA §103§112
Filed
Oct 30, 2023
Examiner
KARIM, ZIAUL
Art Unit
2119
Tech Center
2100 — Computer Architecture & Software
Assignee
Firmus Technologies Pty Ltd.
OA Round
1 (Non-Final)
82%
Grant Probability
Favorable
1-2
OA Rounds
2y 7m
To Grant
99%
With Interview

Examiner Intelligence

Grants 82% — above average
82%
Career Allow Rate
601 granted / 736 resolved
+26.7% vs TC avg
Strong +22% interview lift
Without
With
+21.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
30 currently pending
Career history
766
Total Applications
across all art units

Statute-Specific Performance

§101
17.4%
-22.6% vs TC avg
§103
39.0%
-1.0% vs TC avg
§102
19.7%
-20.3% vs TC avg
§112
18.4%
-21.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 736 resolved cases

Office Action

§103 §112
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claims 1-30 are pending. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. The term “at most” in claims 3 and 17 is a relative term which renders the claim indefinite. The term “at most” is not defined by the claim, the specification does not provide a standard for ascertaining the requisite degree, and one of ordinary skill in the art would not be reasonably apprised of the scope of the invention. Specification did not set any boundary of the limits. Dependent claims did not clarify so dependent claims also rejected. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claim(s) 1-2, 15-16 and 29-30 is/are rejected under 35 U.S.C. 103 as being unpatentable over Zhao et al. USPGPUB 2016/0036225 (hereinafter “Zhao”) in view of Pfeiffer et al. 20130054987 A1(hereinafter “Zhao”). As to claim 1, Zhao teaches an electric load network for adjusting an operation frequency of an electricity grid in real time, the electric load network (FIG. 1 and paragraph 0046) comprising: a set of computing devices interconnected to perform one or more computing tasks, the set of computing devices being configured to electrically connect to the electricity grid to be powered by the electricity grid in order to perform the one or more computing tasks at a collective operation power (paragraph 004-0051 and FIG. 2-3 “a variety of power distribution networks including node controllers may be utilized to perform power distribution as appropriate to the requirements of specific applications in accordance with embodiments of the invention. Nodes utilizing node controllers connected to a communication network in accordance with various embodiments of the invention are discussed further below”). Zhao does not explicitly teach a site server that is connected to the set of computing devices; a frequency reader that is connected to the site server, the frequency reader being configured to read from the electricity grid the operation frequency of the electricity grid during an adjustment interval; wherein the site server is configured to obtain from the frequency reader the operation frequency of the electricity grid during the adjustment interval; determine a frequency difference between the operation frequency and a reference operation frequency; and instruct the set of computing devices to change the collective operation power of the set of computing devices based on the frequency difference to adjust the operation frequency of the electricity grid. However, Pfeiffer teaches a site server that is connected to the set of computing devices (paragraph 0014 “FIG. 5, the data center energy management system 35 may be one or more server computers or other IT equipment like storage or network equipment (running in the data center for example or in a different location) that execute a plurality of lines of computer code. The data center energy management system 35 may also be implemented in hardware. The data center energy management system 35 may have a power and energy consumption data collection”); a frequency reader that is connected to the site server, the frequency reader being configured to read from the electricity grid the operation frequency of the electricity grid during an adjustment interval (paragraph 0016 and FIG. 2 “grid frequency change is detected by the data collection unit 30 of the energy management system”); wherein the site server is configured to obtain from the frequency reader the operation frequency of the electricity grid during the adjustment interval (paragraph 0015-0016 and FIG. 2 element 132 “frequency change is detected (132)”); determine a frequency difference between the operation frequency and a reference operation frequency (paragraph 0016-0017 frequency change is the difference between the last measured frequency and the previous frequency measure); and instruct the set of computing devices to change the collective operation power of the set of computing devices based on the frequency difference to adjust the operation frequency of the electricity grid (paragraph 0016 and Fig. 2 element 134 “the power consumption of the servers in the data center is adjusted so as to adjust the frequency). Zhao and Pfeiffer are analogous art because they are from the same field of endeavor and contain overlapping structural and functional similarities. They both relate to energy management system. Therefore at the time of effective filing date, it would have been obvious to a person of ordinary skill in the art to modify the above energy management system, as taught by Zhao, and incorporating collective operation power of the set of computing devices based on the frequency difference to adjust the operation frequency of the electricity grid, as taught by Pfeiffer. One of ordinary skill in the art would have been motivated to improve monitoring, controlling of frequency response mode (also called frequency control mode, or automatic generation control (AGC) mode), altering their output continuously to help keep the frequency near the required value, as suggested by Pfeiffer (paragraph 0003). As to claims 2, the combination of Zhao and Pfeiffer teaches all the limitations of the base claims as outlined above. Pfeiffer further teaches wherein each of set of the computing devices includes a set of chips operating at a chipset power, and the site server is further configured to instruct at least one of the set of computing devices to operate at a different chipset power in order to change the collective operation power of the set of computing devices (paragraph 0016 and FIG. 2 “dynamically increased and if monitored and adjusted on real-time, such power consumption can be set by forcing specific load onto such servers and IT equipment ("forced load") as shown in FIG. 4 for example”). As to claim 15, is related to claim 1 with similar limitations also rejected by same rational. As to claim 16, is related to claim 2 with similar limitations also rejected by same rational. As to claim 29, is related to claim 1 with similar limitations also rejected by same rational. As to claim 30, is related to claim 1 with similar limitations also rejected by same rational. Claim(s) 3-12 and 17-25 is/are rejected under 35 U.S.C. 103 as being unpatentable over Zhao et al. USPGPUB 2016/0036225 (hereinafter “Zhao”) in view of Pfeiffer et al. 20130054987 A1(hereinafter “Zhao”) further in view of Guide to Ancillary Services in the National Electricity Market dated April 2015 (hereinafter “AEMO”). As to claim 3, the combination of Zhao and Pfeiffer teaches all the limitations of the base claims as outlined above. The combination does not explicitly teach wherein the site server is further configured to change the collective operation power of the set of computing devices by a load change limit at most. However, AEMO teaches wherein the site server is further configured to change the collective operation power of the set of computing devices by a load change limit at most (page 6 and Fig. 2, 7 regulation frequency control “lower frequency 49.85 Hz and upper frequency 50.15 Hz). Zhao, Pfeiffer and AEMO are analogous art because they are from the same field of endeavor and contain overlapping structural and functional similarities. They both relate to energy management system. Therefore at the time of effective filing date, it would have been obvious to a person of ordinary skill in the art to modify the above energy management system, as taught by Zhao and Pfeiffer, and incorporating collective operation power of the set of computing devices by a load change limit at most, as taught by AEMO. One of ordinary skill in the art would have been motivated to improve monitoring, controlling of frequency response mode (also called frequency control mode, or automatic generation control (AGC) mode), altering their output continuously to help keep the frequency near the required value, as suggested by Pfeiffer (paragraph 0003). As to claim 4, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. AEMO further teaches wherein the reference operation frequency is a minimum operation frequency allowed in the electricity grid, and the site server is further configured to determine the frequency difference as a percentage difference that the operation frequency of the electricity grid during the adjustment interval is below the minimum operation frequency (FIG. 2 and 7); determine a below proportion of the percentage difference to a maximal below percentage; and determine the below proportion times the load change limit to be a power reduction value (FIG. 7 and page 10). As to claim 5, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. However, Pfeiffer further teaches wherein the site server is further configured to instruct each of the set of computing devices to reduce the chipset power of each of the set of computing devices in order to reduce the collective operation power of the set of computing devices by the power reduction value (paragraph 0015-0016). As to claim 6, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. Pfeiffer further teaches wherein the site server is further configured to determine a chipset reduction proportion of the power reduction value to a collective chipset power of the set of computing devices; and instruct each of the set of computing devices to reduce the chipset power of each of the set of computing devices by the chipset reduction proportion (paragraph 0016-0018). As to claim 7, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. However, AEMO further teaches wherein the site server is further configured to instruct a subset of the set of computing devices to reduce the chipset power of each of those computing devices in order to reduce a collective chipset power of the set of computing devices by the power reduction value (page 10-12). As to claim 8, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. Pfeiffer further teaches wherein the reference operation frequency is a maximum operation frequency allowed in the electricity grid, and the site server is further configured to determine the frequency difference as a percentage difference that the operation frequency of the electricity grid during the adjustment interval is above the maximum operation frequency (paragraph 0014-0016); determine a above proportion of the percentage difference to a maximal above percentage; and determine the above proportion times the load change limit to be a power increase value (paragraph 0016-0017 and Fig. 2). As to claim 9, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. Pfeiffer further teaches wherein the site server is further configured to instruct each of the set of computing devices to increase the chipset power of each of the set of computing devices in order to increase the collective operation power of the set of computing devices by the power increase value (paragraph 0016 and FIG. 2). As to claim 10, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. AEMO further teaches wherein the site server is further configured to determine a chipset increase proportion of the power increase value to a collective chipset power of the set of computing devices; and instruct each of the set of computing devices to increase the chipset power of each of the set of computing devices by the chipset increase proportion (Fig. 2 and 7 and pages 6-11). As to claim 11, the combination of Zhao, Pfeiffer and AEMO teaches all the limitations of the base claims as outlined above. AEMO further teaches wherein the site server is further configured to instruct a subset of the set of computing devices to increase the chipset power of each of those computing devices in order to increase a collective chipset power of the set of computing devices by the power increase value (page 6 and page 10-11 and Fig. 2, 7). As to claim 17, is related to claim 3 with similar limitations also rejected by same rational. As to claim 18, is related to claim 4 with similar limitations also rejected by same rational. As to claim 19, is related to claim 5 with similar limitations also rejected by same rational. As to claim 20, is related to claim 6 with similar limitations also rejected by same rational. As to claim 21, is related to claim 7 with similar limitations also rejected by same rational. As to claim 22, is related to claim 8 with similar limitations also rejected by same rational. As to claim 23, is related to claim 9 with similar limitations also rejected by same rational. As to claim 24, is related to claim 10 with similar limitations also rejected by same rational. As to claim 25, is related to claim 11 with similar limitations also rejected by same rational. Claim(s) 13 and 27 is/are rejected under 35 U.S.C. 103 as being unpatentable over Zhao et al. USPGPUB 2016/0036225 (hereinafter “Zhao”) in view of Pfeiffer et al. 20130054987 A1(hereinafter “Zhao”) further in view of McNamara et al. USPGPUB 20210036547 A1 (hereinafter “McNamara”). As to claims 13 and 27, the combination of Zhao and Pfeiffer teaches all the limitations of the base claims as outlined above. The combination does not explicitly teach wherein the one or more computing tasks comprise proof of work. However, McNamara teaches wherein the one or more computing tasks comprise proof of work (paragraph 0172). Zhao, Pfeiffer and McNamara are analogous art because they are from the same field of endeavor and contain overlapping structural and functional similarities. They both relate to energy management system. Therefore at the time of effective filing date, it would have been obvious to a person of ordinary skill in the art to modify the above energy management system, as taught by Zhao and Pfeiffer, and incorporating collective operation power of the set of computing devices by a load change limit at most, as taught by McNamara. One of ordinary skill in the art would have been motivated to improve monitoring, controlling of frequency response mode (also called frequency control mode, or automatic generation control (AGC) mode), altering their output continuously to help keep the frequency near the required value, as suggested by Pfeiffer (paragraph 0003). Allowable Subject Matter Claims 12, 14, 26 and 28 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. It is noted that any citations to specific, pages, columns, lines, or figures in the prior art references and any interpretation of the reference should not be considered to be limiting in any way. A reference is relevant for all it contains and may be relied upon for all that it would have reasonably suggested to one having ordinary skill in the art. See MPEP 2123. Conclusion The prior art made of record and listed on the attached PTO Form 892 but not relied upon is considered pertinent to applicant's disclosure. Donahue et al USPGPUB 2021/0006073 teaches a system comprises a secondary energy source and a power controller. The secondary energy source is associated with the micro grid, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and to output a second AC power signal to loads in communication with the power controller. The power controller comprises a frequency converter configured to change frequency of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency of the second AC power signal. BERNTSEN et al. USPGPUB 20190305346 teaches a method for addressing electrical grid frequency changes by a fuel cell system includes measuring, by a frequency sensor, a frequency of an electrical grid, determining that the frequency of the electrical grid differs from a normal frequency of the electrical grid by a threshold, determining, based at least in part on the measured frequency, an AC power setpoint bias, applying a magnitude limit, a rate-of-change limit, and a duration limit to the determined AC power setpoint bias to generate a limited power setpoint bias, generating a frequency adjusted power setpoint based on the limited power setpoint bias, and providing the frequency adjusted power setpoint to one or more control modules of the fuel cell system such that the fuel cell system adjusts a power output based on a difference between the measured frequency and the normal frequency. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ZIAUL KARIM whose telephone number is (571)270-3279. The examiner can normally be reached on Monday-Thursday 8:00-4:00 PM EST. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Mohammad Ali can be reached on 571 272 4105. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /ZIAUL KARIM/Primary Examiner, Art Unit 2119
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Prosecution Timeline

Oct 30, 2023
Application Filed
Jan 08, 2026
Non-Final Rejection — §103, §112
Apr 07, 2026
Interview Requested

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
82%
Grant Probability
99%
With Interview (+21.9%)
2y 7m
Median Time to Grant
Low
PTA Risk
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