AI Agents for Renewable Energy Economics

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.

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).

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%.

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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%.

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.

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.

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.

Model out the NPV of distributions shareholders would receive under REIT conversion. - There's the $1.2 billion E&P purge that gets taxed as ordinary income at 37% (E&P purge occurs at Year 0, annual distributions occur at end of Years 1–5). - There are ongoing REIT dividends in the $650-750mm range that qualify for the 20% Section 199A deduction. - Apply 199A only to annual REIT distributions; do not apply 199A to the E&P purge (tax purge at 37%). - Run sensitivities across 10%, and 12% discount rates over a 5-year horizon. Show discount rates vs distribution levels, populated with respective after-tax NPV per share. Then, show me the base case NPV as a percentage of both the strategic offer and current trading price. Round NPV per share to 2 decimal places. Round percentages to 1 decimal place. Create an xlsx that has all of your results.

For each year, calculate Levered FCF less Dividends Paid. Assuming a 9% discount rate, output the net present value (NPV) of Levered FCF less Dividends Paid over the projection period, rounded to a full million. Refer to REIT model and adjust Golden Everest Base Case Projections (C-Corp Status) as follows: - Hold Capex % of Revenue constant at 22% over the projection period - Assume Dividend per Share is fixed at 1.60 in 2025E, increasing 0.40 per year over the projection period. Print your answer to me here via a short message.

Use Planet Fitness' latest financial model, in the"Copy of LBO" tab, and sensitize $ operating expenditure each year by +/- 5% against the base case for each year from 2026 through 2030; calculate the resultant change in FY30 IRR relative to the base case. (For illustration, if opex in FY26 was $1,000, the downside (+5% opex) case would be $1,050 opex and the upside case (- 5% opex) would be $950 opex.) Create a new Sheet and make a table with: - Rows: "Upside", "Base", "Downside" scenarios - Columns: "Scenario"; "IRR"; "Accretion/Dilution" Where "IRR" is the IRR for the given scenario and "Accretion/Dilution" is the difference in the scenario IRR against the base case in absolute % terms. Format all percentages to 2% decimal places

Calculate the sponsor equity value and IRR for FY2030, then report the sponsor equity value in US dollars, rounded to the nearest million. Report the IRR to one decimal place. Reference the LBO model where needed. Note: the LBO model has an error. Mandatory Debt Repayments in the Levered Free Cash Flow build should be set to $0 to correct the error. Use the following specifications: - Decrease “Secured term loan - USD tranche” yield from 7.5% to 5.0%. - Increase annual mandatory amortization of the “Secured term loan – USD tranche” to 7.5% of the opening principal balance of $3,432mm. - Hold revenue growth constant at 13.0% per year from FY2026 to FY2030; model drivers should reflect the updated revenue growth (for avoidance of doubt, OpEx remains unchanged vs the base case in $ terms). - Only 10.0% of the cash available for total debt service in each year is allocated to the optional repayment of the secured term loan. Give me the answers here in the console.

You have access to the accretion dilution model. Create a new sheet and tell me the Proforma Interest Coverage for 2027 and 2028. In doing so, assume: - Aptar's Interest expense as a percentage of sales in sheet "Aptar_Historicals" is now 2% for the projection period (2025E - 2030E) - Aptar's Total OPEX as a percentage of sales in sheet "Aptar_Historicals" is now 25% for the projection period (2025E - 2030E) - Aptar's Tax Rate as a percentage of sales in sheet "Aptar_Historicals" is now 35% for the projection period (2025E - 2030E) - Interest on Existing debt remains unchanged. - Cost synergies target in sheet "Synergies" is 35% - Synergies in sheet "Synergies" will be 50% realized in 2025, 2026 and 2027 and 100% in 2028 and after - Cost to achieve synergies in sheet "Synergies" will be 0% Perform the calculations in Euros in thousands and round to one decimal place.

In the Accretion / Dilution Model, there is an error in the calculation of Cost of Product and Cost of Software and Rentals. Calculate the correct revised implied Enterprise Value after the divestiture. Please fix the linking and use the correct formula in the "DCF-Solv Tab" to calculate Product Gross Margin and Software & Rentals Gross Margin to help with the next analysis: In the Accretion / Dilution Model, Solventum's Purification & Filtration Segment (P&F) is being divested at the end of 2025E / beginning of 2026E and should be reflected in financial projections in the "DCF-Solv" tab. The current assumptions in the model for the Purification & Filtration Segment are as follows: - Revenue Growth Rate: 2.0% annually after 2024A - Gross Margins: P&F Gross Margins constant since 2024A - Operating Expenses: P&F Opex % of Revenues constant since 2024A P&F's 2024A results can be in Solventum's 2024 Annual Report. Round financial figures to 2 decimal points, putting them in USD millions. Write a reply to me here with the requested value.