Hi ๐Ÿ‘‹๐Ÿป Welcome to my first Dashboard! ๐Ÿ”ฅ

Main Purpose of the Analysis

Predict tomorrow's Energy-Prices.

Type of Data

Time Series

Target Variable

Hourly Prices.

Number of Datasets used

2

Number of Observations

35328

Features used as Predictors

24

Why should you care? ๐Ÿคท๐Ÿป

The bigger Picture

Use Case 1

Optimizing Price-Expectations.

Use Case 2

Hedging Tool for Energy-Trading.

Use Case 3

Use as Input for other Predictions.

How do the energy-prices in Switzerland evolve? ๐Ÿ“ˆ

The Context

Jan 2019Jul 2019Jan 2020Jul 2020Jan 2021Jul 2021Jan 2022Jul 2022Jan 20230200400600800
Hourly Energy PricesMonths

Shall we try and predict the prices? ๐Ÿ’ธ

The Results

  • Predictions over a Year
  • Daily Predictions
Jan 2019Jul 2019Jan 2020Jul 2020Jan 2021Jul 2021Jan 2022Jul 2022Jan 20230200400600800
All available Energy PricesPredicted ValuesFirst Training-PeriodMonthsโ‚ฌ / MWh
00:00Jan 11, 202303:0006:0009:0012:0015:0018:0021:00130140150160170180190
Ex-Post known (true) PricesPredicted PricesHourโ‚ฌ / MWh

How well does our Model perform? ๐Ÿง

The Evaluation

Month MAPE
January 28.599386
February 13.365196
March 22.046128
April 143.447917
May 22.895693
June 17.993967
July 19.239743
August 16.617340
September 33.632955
Oktober 39.937436
November 22.884738
December 52.829252
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember020406080100120140
MonthMonthly MAPE (in %)

What is today's Prediction? ๐Ÿ”ฎ

The Application

The Predictions will be shown in this box... ๐Ÿค“