Optimize Energy Data for Reporting | Dataford Interview Questions

Write a function that optimizes energy consumption data for reporting at Duke Energy.

Implement optimize_energy_data(readings, interval_minutes). Each reading is a dictionary with an integer timestamp in minutes and numeric kwh consumption. Return one dictionary per reporting interval, summing all readings whose timestamps fall in that interval, ordered by interval start time. Return an empty list when no readings are provided.

The interval containing timestamp t starts at (t // interval_minutes) * interval_minutes.

Constraints

0 <= len(readings) <= 1000
interval_minutes is a positive integer
Each reading contains an integer timestamp >= 0
Each reading contains a numeric kwh value >= 0
Input readings may be in any order
Return intervals in ascending timestamp order

Function Signature

def optimize_energy_data(readings, interval_minutes):

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Problem

Write a function that optimizes energy consumption data for reporting at Duke Energy.

The interval containing timestamp t starts at (t // interval_minutes) * interval_minutes.

Constraints

0 <= len(readings) <= 1000
interval_minutes is a positive integer
Each reading contains an integer timestamp >= 0
Each reading contains a numeric kwh value >= 0
Input readings may be in any order
Return intervals in ascending timestamp order

Function Signature

def optimize_energy_data(readings, interval_minutes):

Your question is Optimize Energy Data for Reporting. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.