Aggregation of energy consumption forecasts across spatial levels: Using CNN-LSTM forecasts of lower spatial levels to forecast on higher spatial levels

Bottom up load forecasting, is a technique where energy consumption forecasts are made on lower spatial levels, after which the resulting forecasts are aggregated to form forecasts of higher spatial levels. With the current move to renewable energy sources and the importance of reducing the strain on an already congested electricity grid,...

Partial Hierarchy Appliance Modelling In Household Energy Consumption: Utilizing ARMA based methods to improve the prediction of household energy consumption

The ever-evolving power grid is becoming smarter and smarter. Modern houses come with smart meters and energy conscious consumers will buy additional smart meters to place in their home to help monitor their energy consumption. This new smart technology also opens the door to more accurate power consumption forecasting. In this study we look at...