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DataCampTime SeriesIntermediateRegistration unverified

Understanding the Local Electricity Market

A intermediate time series competition requiring roughly 10–24 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
10–24 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Learners with some ML coursework who want a structured DataCamp-style project sprint.

Read the original official blurb
You work for an energy company in Australia. Your company builds solar panel arrays and then sells the energy they produce to industrial customers. The company wants to expand to the city of Melbourne in the state of Victoria. Prices and demand for electricity change every day. Customers pay for the energy received using a formula based on the local energy market's daily price. Your company's pricing committee wants your team to estimate energy prices for the next 12-18 months to use those prices as the basis for contract negotiations. In addition, the VP of strategy is researching investing in storage capacity (i.e., batteries) as a new source of revenue. The plan is to store some of the energy produced by the solar panels when pricing conditions are unfavorable and sell it by the next day on the open market if the prices are higher. Create a report that covers the following: Scoring notes: [object Object],[object Object],[object Object],[object Object]

Preparation

From registration to a first submission

  1. 01

    Python or R basics

  2. 02

    DataCamp / DataLab workflow

  3. 03

    pandas or tidyverse

Before you commit: Task framing and scoring details live in the notebook; weak validation still hurts rankings.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
DataCamp
Last checked
Mar 23, 2022

Entry assessment

est.
55

Prepare before joining

Overall fit estimate

Beginner fit55/100
Learning value74/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Mar 23, 2022
Source created
Mar 23, 2022
Published on this site
Jul 18, 2026