APEX-Agents category
AI Agents for Energy Grid Resilience
This page showcases APEX-Agents tasks that test whether AI agents can reason about energy grid resilience, curtailment, redispatch, VOLL, and transmission asset risk.
Related tasks
33 tasks that also exercise this type of work as part of a broader assignment.
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Find out the ratio between Curtailment_GWh and Redispatch_GWh and for the lowest average ratio of Country-Region pair, report the average Avoided Curtailment (MWh) and causes of curtailment. Represent the average Avoided Curtailment to two decimal places Present these findings on a new slide you create.
Expected output: make_new_slide_deck -
Identify the region with the highest average asset-level Total Score (defined as the sum of Criticality Score, Renewable Impact, and Risk Score), and the country within that region that has the highest average Total Score. Tell me the top ranking region, the top ranking country within that region, and the average scores for both. Reply to me with your answer here (rounded to 1 decimal).
Expected output: message_in_console -
Tell me whether or not the asset type that has the highest average adjusted failure probability per outage is also responsible for the highest average Value of Lost Load (VOLL) per asset. VOLL is defined as the product of SAIDI, number of customers affected, and assumed € per Customer-Minute. If it doesn't, which asset type does have the highest VOLL per asset? And for that asset type, what is the average adjusted failure probability per outage and the average VOLL per asset? Write your answer to me in here, rounding the output dollar values to the nearest 0.1 million and the output percentages to the nearest 0.01%.
Expected output: message_in_console -
Calculate the NPV from the 12-year cash flow on renewable enablement benefits, considering the following assumptions: - The steady-state annual benefits from renewable enablement mentioned in the business case represent the annual renewables revenue for year 1, which then grows at a rate of 10% during each of the next 11 years. - The OPEX is provided in the attached slide deck. - Assume an 8% annual discount rate, and no discount in the 1st year. State the final NPV in billions with two decimal places here as a message here
Expected output: message_in_console -
Investigate whether EuroGrid should consider increasing staffing. Determine if the number of working people per impacted asset is correlated with the expected economic impact of unforeseen downtime in each Country-Region combination. Assume that downtime also includes emergency repairs. Let's conduct 2 regression analyses using data in each country-region pair: - [Workers Per Asset] vs [Economic Cost Per Worker Per Weather Event] for weather related outages - [Workers Per Asset] vs [AVG Emergency Repair Cost]. Provide the R² value for each relationship to the nearest 2 decimal places. More investigation is warranted so long as both models have R² value > 0.5. Based on the models, recommend whether to proceed with this investigation or not. Keep this in mind: - For each analysis, use unique asset counts that correspond to the underlying dataset used when calculating workers per asset. - For both assessments we can assume that all workers in the workforce are supporting responses to unforeseen downtime and that workforce size has not changed in the past 5 years. - For emergency repair costs, use the simple average of the annual repair cost over the full 5 year history (2020 - 2024) for each country-region pair. - For each individual regression analysis only use the data present in both sets of data needed for that regression (e.g., if Austria Alpine has workforce data and weather data but no emergency data then it will be used in the 1st regression but removed from the 2nd regression analysis). -Use the EuroGrid's maintenance CapEx/OpEx 5-yr summary file to get the emergency repair cost figures for each country-region pair. Use the Grid workforce and maintenance productivity file to get workforce size. Use the extreme weather and climate stress dataset to get the number of impacted assets and total weather events per year. Write out the answer for me here in a brief message.
Expected output: message_in_console -
Can you calculate the annual EU implied revenue for each Eastern European TSO? Use the midpoint of their implied market share ranges and 40 billion euros as the total market size. Using the implied revenue, calculate the EU renewable revenue for each TSO and for EuroGrid. Please refer to the attached file for the % share of renewables. As an output, create a *NEW SLIDE DECK*, containing a) EU renewables revenue for top two TSOs by renewable revenue and for EuroGrid (in $B, rounded to nearest $0.1B), and b) a statement of the amount of EU renewables revenue required for EuroGrid to achieve 60% market share in a market composed only of EuroGrid and the Eastern European TSOs (in $B, rounded to the nearest $0.1B). Do not round calculation steps. Use 1 Euro = 1.2 USD for currency conversion.
Expected output: make_new_slide_deck -
Identify the Phase 1 Assets from the 10 Year Roadmap, assuming that SAIFI / SAIDI hotspots can be defined as assets having SAIFI > 1.0 and SAIDI > 60. Ignore the key criteria for substations and the note on rising corrective maintenance trends. Utilizing the registry, asset financial model, and risk matrix, provide (1) the total count of identified assets and (2) the total NPV. Report total NPV in millions rounded to 2 decimals. Reply straight here only.
Expected output: message_in_console -
Assuming Eurogrid goes through with the labor reallocation efforts described in the operational efficiency analysis, calculate both the % of total staff that is a manager and the average span of control across all departments (excluding IT & Digital Systems). Use the following pre-allocation manager shares: Grid Operations & Control Center (20%), Field Maintenance & Construction (15%), Asset Management & Planning (15%), Tech (10%), and Other corporate functions (25%). Assume % of managers is the same in both the department that is being re-allocated and the proportion of FTE being re-allocated. Assume all FTE reallocation goes into the IT & Digital Systems department. Round all headcount figures down to the nearest integer in your calculations. Round responses to two decimal places. Provide all your answers directly in here.
Expected output: message_in_console -
EuroGrid wants to understand whether the root cause of its asset failures can be explained by age, load, and/or frequency of weather events. Identify the 3 manufacturers with the highest total failures over the past 5 years across all asset types and then run a multivariate regression on SAIDI for each manufacturer using the asset registry and the extreme weather dataset (filtering out sensors, breakers, and substations, as these assets' failure patterns and/or shorter operational lifespans would skew the regression results). Use the attached file to map countries and regions between the Asset Registry and the weather dataset. For each manufacturer, tell me the R Square of the regression. Round all final answers to 2 decimals. Return your answer directly in here
Expected output: message_in_console -
Please use EuroGrid's headcount per department and the attached benchmarks to calculate the estimated total cost of each of the departments' headcount. Round all final amounts to full USD. Provide your answer as a message here, listing the departments and the total cost in USD for each.
Expected output: message_in_console -
Looking only at projects in the Connection Queue that have a status of "Approved" or "Connected", calculate the percentage of the Total Forecasted Demand for the years 2026, 2027, and 2028 that could be covered by these renewable energy projects. Our focus here is only the Netherlands. Use the data from the renewables and load forecast. Assume the percentages will be cumulative year over year and that renewables capacity is available in the full connection year and in all subsequent years (ignore 2025 connections and use 2026 as the base year). Round your final answers to whole percentages. Print your response to me here.
Expected output: message_in_console -
What is the net aggregate annual benefit (i.e., total annual savings minus total annual opex) of all of the use cases in the digital use case sizing analysis? According to the new transmission technologies deck, which technology discussed therein has the most annual savings? How much is expected in yearly savings and annual opex for that technology? What would be the new net aggregate annual benefit if all you did was incorporate the savings and annual opex numbers you just identified? Give your answers in EUR millions, rounded to one decimal place. Do not round intermediary calculations. Provide your answers directly to me here.
Expected output: message_in_console -
Take a look at our workforce distribution in the country where we've spent the most on OPEX from 2020-24. Knowing we need 2 line technicians per transmission line, 1 substation technician for each substation and transformer, 1 protection engineer for each sensor and breaker, and 1 maintenance planner who can split their time among 5 different assets. What's the total headcount we need for each role in that country? Put together a table with the country, the roles, current headcount, and total headcount needed. Round headcounts to the nearest whole number. Reply to me here.
Expected output: message_in_console -
Please calculate how much Germany's and Netherlands' renewables pipelines (will be only 95%) will cover out of their total yearly loads in 2027 and 2028 in % terms. You can use their average historical total load data as the estimate for future needs. Output the year and coverage percentage. Return it as a short message to me here. Round the final percentage values to 0.01%.
Expected output: message_in_console -
Can you state the total simple average of the average implementation cost values, across the various technologies? Use the attached implementation cost deck. Also, state how many technologies have a typical cost more than the average calculated above. Give the final monetary values in millions ($ USD) and round final values to 1 decimal place. Print your answer out here.
Expected output: message_in_console -
Can you please evaluate the outage causes that affect each country the most, in terms of total outage duration? Categorize hazards relating to flooding or storms as the "Weather - Storm" cause and those relating to heat or wildfire as the "Weather - Heat" cause. For France and the Netherlands, state the top weather cause by outage duration, the total events per year in that cause, and the average outage minutes per event in that cause. Note that the Outage ID doesn't reflect individual events; it can be a single event or multiple events combined. Final answers should be rounded to two decimal places. Please report your answers directly to me in here.
Expected output: message_in_console -
Using the Digital Twin Input and Additional bus datasets, identify the Bus IDs associated with renewable energy generation. For each of these Bus IDs, calculate the average (in GW) of their three highest load values. Based on these averages, shortlist the top 2. Round to 3 places. Give the answers here.
Expected output: message_in_console -
Senior Living Lending, Inc. ("SLL") emailed me because they are concerned that responses to their ad campaigns may fall under the Telemarketing Sales Rule (“TSR”). Can you please draft the content for a reply that I can send? Please include any relevant definitions. Write out your answer here. Here's the relevant part of their email for reference: Will the TSR requirements apply when we receive calls or texts from potential buyers in response to those print ads and online banners?
Expected output: message_in_console -
A real-time Rapid Response Content (RRC) update is automatically delivered and it causes performance degradation in a customer’s environment. The customer did not stage deployments, had no rollback plan, and used the system in a critical operational setting. Can you review the board memo, along with Crowdstrike's standard and proposed MSA and let me know if CrowdStrike bears the risk for service interruption caused by the RRC? Explain your response and tell me what documents inform your assessment. Write our your findings to me here. Thanks!
Expected output: message_in_console -
Review the following: the statement dated July 19, 2024 from George Kurtz, the Form 8-K from Crowdstrike dated July 19, 2024 and Rule 10b-5. Based solely on these documents, identify any statements made by Kurtz that are clearly and unequivocally misleading under Rule 10b-5. For any problematic statement(s), identify the missing context that is required for them. Reply back to me with your findings as an answer here
Expected output: message_in_console -
Review only the following: CrowdStrike Form 8-K 2024.pdf Form 8-K Standard.pdf DELTA AIR LINES, INC. 8-K.pdf Today, August 9, 2024, we discovered that the Falcon sensor outage may have been caused by a cyberattack. Our cybersecurity firm is processing the data and has advised they will have a conclusive determination in 7 days, but for now, believes that there is a 30% chance that a cyberattack was the underlying cause. Determine if the Company should file a Form 8-K, and if so, what date and under what item the disclosure should be made. Respond back to me here with your findings.
Expected output: message_in_console -
Can you review Sections 8.4, 9.1, 9.3,10.1,14.7 in our MSA, against the below outage scenario? A faulty update causes endpoint failures. The customer sends a breach notice by email to a support inbox, seeks lost revenue and lost data costs and asserts that CrowdStrike must indemnify all losses. For each of the clauses that applies to the facts above, state whether CrowdStrike is liable or not, and provide a one-sentence reason for the conclusion. Put it in a new doc file you create.
Expected output: make_new_doc -
We want to get ahead of preparing a settlement agreement for the Delta matter. Can you let me know which of Delta’s original causes of actions are no longer live as we head into the pre-trial conference in March? You can ignore the derivative claims, though I would like to know if punitive fees are likely to apply and whether there is a limit to them based on CrowdStrike’s litigation case file against Delta. And, assuming that IronPeak agrees to insure us during mediation next week, please also estimate our budget as we head into trial. Reply to me back in here with your view.
Expected output: message_in_console -
CrowdStrike sent the attached list of historic stock transactions (note the document lists transactions for both Class A and B stocks). We need to determine if any of these people would be a part of the class in the Plymouth County lawsuit, assuming no opt-outs. Look for the class requirements and the attached list of transactions, identify which individuals from the upload purchased Class A stock, and which of those did so during the Class Period to qualify for the class. Make a new sheet and list their names and each transaction for which the individual qualifies.
Expected output: make_new_sheet -
We've received the attached warranty claims for some of our products. Please review them. Then, edit the existing existing "product purchases" spreadsheet to show the maximum refund amount a customer could receive for each product purchased.
Expected output: edit_existing_sheet -
Analyze whether Counts 1-7 of Delta's Complaint against CrowdStrike fall within the limitation of liability clause in Section 10.1 of CrowdStrike's standard MSA, indicating "Covered" or "Not Covered" for each count. Reply back to me here with your assessments.
Expected output: message_in_console -
MLT is a CrowdStrike customer severely affected by the outage. MLT filed a lawsuit for negligence seeking to recover damages arising from the outage. Additionally, MLT successfully transferred venue to Georgia. CrowdStrike is considering moving for summary judgment on the basis that the outage does not rise to the level of gross negligence and the exculpatory clause in the contract applies (the "Motion"). Can you tell me if CrowdStrike is likely to succeed in its Motion? Reply to me with your view, giving me a Yes or No and a short explanation.
Expected output: message_in_console -
CrowdStrike's general counsel sent us a complaint filed in U.S. district court by Larry Stone, alleging violations under Sections 10(b) and 20(a) of the Securities Exchange Act of 1934, as well as Rule 10b-5 arising from false statements or omissions regarding its Falcon Sensor, the update of which causing the widely-reported July, 2024 service outage, leading to his Class A stock suffering a considerable loss in value. Review our directories and the attached file for analysis and reply back to me with a short memo in a new dox file. Determine whether the Plymouth matter's class, which is pending certification and does not show a related opt out, is likely to support a successful motion to dismiss Stone's suit.
Expected output: make_new_doc -
An independent investigation of Crowdstrike's Channel File 291 outage revealed that the devices affected were mostly Microsoft or Google devices, and no Apple devices were affected at all. Is another filing with the SEC required at this time? Please give me a yes/no with a clear explanation back here so I can understand your answer and what the legal basis is for your assessment.
Expected output: message_in_console -
Update numbers with the new projections (attached). I want the full breakdown for: DC converters and onboard chargers Driveline and axle modules Engine control units Engine core hardware Exhaust and emissions Fuel and injection systems On vehicle charging hardware Power electronics and inverters Sensors and wiring Structural EV content Thermal management modules Transmission and e drive Ignore sensors and structural EV content. Round final numbers to two decimals, and reply just straight back in here.
Expected output: message_in_console -
It has come to our attention that some of the data transferred by the "Diagnostics Analytics Module" related to residents of Colorado. Does Colorado Law require us to notify Colorado residents of this data transfer? Please respond to me here as a memo that outlines the requirements under the relevant laws and analyzes Northstar's situation in reference to the incident documentation.
Expected output: message_in_console -
Northstar's US customer, Zellwerk, reported a system-wide outage that delayed access to shipment-tracking data containing health-related product identifiers and customer account IDs. During the outage investigation, Northstar's internal team discovered an unapproved third-party analytics module embedded in the US and European instances of the platform for "temporary performance monitoring." The General Counsel has reached out asking if Northstar's data practices would be considered unfair under the Federal Trade Commission Act. Make a NEW document, and prepare a short memorandum with a summary of the relevant legal authority, analysis, and a conclusion.
Expected output: make_new_doc -
During the first 48 minutes of the EU production outage, Northstar's engineering team exported one or two bundled sets of EU production event logs containing personal data to the U.S. analytics vendor. However, no ongoing or continuous log streaming had yet been configured. Reply back to me here and explain if, Under Northstar's own policies, it can reasonably treat the one or two log exports as consistent with Article 49?
Expected output: message_in_console