csigauke/Short-term-forecasting-of-hierarchical-time-series-in-electricity-consumption

Domain:

environment and energy

Record type:

paper

Creator:

csi

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The article investigates the application of machine learning algorithms, Extreme Gradient Boosting (XGBoost) and Stochastic Gradient Boosting (SGB) for forecasting hierarchical time series data in the South African power generation sector. Additionally, the study explores reconciliation methods to ensure coherence in hierarchical forecasts. # Short-term-forecasting-of-hierarchical-time-series-in-electricity-consumption The article investigates the application of machine learning algorithms, Extreme Gradient Boosting (XGBoost) and Stochastic Gradient Boosting (SGB) for forecasting hierarchical time series data in the South African power generation sector. Additionally, the study explores reconciliation methods to ensure coherence in hierarchical forecasts.

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csigauke/Hierarchical-forecasting-of-COVID-19-cases-in-Africa-using-Machine-Learning-models

# Hierarchical-forecasting-of-COVID-19-cases-in-Africa-using-Machine-Learning-models

Hierarchical time series.

This study aims to investigate whether combining forecasts generated from different models c