Data
Daily-Electricity-Price-and-Demand-Data

Daily-Electricity-Price-and-Demand-Data

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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Content As of 2020, 6.7 million people reside in Victoria, Australia's second most populated state. Most of them, 5 million, live or work in Melbourne, state's capital. During 2020 Australia was among the first to close international borders, followed by a closure of interstate borders. Victoria introduced some of the strictest pandemic-related restrictions on business activity that resulted in a significant portion of its population working from home. Description The dataset covers 2016 days between 1 January 2015 and 6 October 2020. During some intraday intervals RRP was negative, so that energy producers were paying consumers rather than wise versa. Below is a brief description fo the data: date : datetime, the date of the recording demand : float, a total daily electricity demand in MWh RRP : float, a recommended retail price in AUD / MWh demand_pos_RRP : float, a total daily demand at positive RRP in MWh RRP_positive : float, an averaged positive RRP, weighted by the corresponding intraday demand in AUD / MWh demand_neg_RRP : float, an total daily demand at negative RRP in MWh RRP_negative : float, an average negative RRP, weighted by the corresponding intraday demand in AUD / MWh frac_at_neg_RRP : float, a fraction of the day when the demand was traded at negative RRP min_temperature : float, minimum temperature during the day in Celsius max_temperature : float, maximum temperature during the day in Celsius solar_exposure : float, total daily sunlight energy in MJ/m2 rainfall : float, daily rainfall in mm school_day : boolean, if students were at school on that day holiday : boolean, if the day was a state or national holiday

14 features

datestring2106 unique values
0 missing
demandnumeric2106 unique values
0 missing
RRPnumeric2106 unique values
0 missing
demand_pos_RRPnumeric2106 unique values
0 missing
RRP_positivenumeric2106 unique values
0 missing
demand_neg_RRPnumeric192 unique values
0 missing
RRP_negativenumeric179 unique values
0 missing
frac_at_neg_RRPnumeric21 unique values
0 missing
min_temperaturenumeric211 unique values
0 missing
max_temperaturenumeric283 unique values
0 missing
solar_exposurenumeric316 unique values
1 missing
rainfallnumeric105 unique values
3 missing
school_daystring2 unique values
0 missing
holidaystring2 unique values
0 missing

19 properties

2106
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
4
Number of missing values in the dataset.
4
Number of instances with at least one value missing.
11
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
78.57
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0.19
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.01
Percentage of missing values.

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