The selling and purchase prices of electricity are correlated, which is generally expressed through the energy price (λt) in the state vector. atESS refers to the corresponding optimal actions of the ESS at interval t. Similarly, a dataset of T state-action pairs DEV={stEV,atEV}t=1T with...
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While Home Credit is currently using various statistical and machine learning methods to make these predictions, they're challenging Kagglers to help them unlock the full potential of their data. Doing so will ensure that clients capable of repayment are not rejected and that loans are given with...
MiscVal: $Value of miscellaneous feature MoSold: Month Sold YrSold: Year Sold SaleType: Type of sale SaleCondition: Condition of sale Input (957.39 kB) folder Data Sources arrow_right House Prices - Advanced Regression Techniques [Private Dataset]...
Dataset Description application_{train|test}.csv This is the main table, broken into two files for Train (with TARGET) and Test (without TARGET). Static data for all applications. One row represents one loan in our data sample. bureau.csv All client's previous credits provided by other ...
In the forecasting of electric load for the next day process, the BLSTM inputs a number of parameters from the feature classification phase as well as temperature information of the same location from where the dataset is collected. The reason for processing the temperature information is that it...