*2.1. Unreliable Data Acquisition*

Demand load forecasting is based on expected weather condition information. Accurate weather forecast is difficult to achieve because of changes in weather conditions from sudden natural occurrences. Thus, the demand load forecast may thus differ due to the actual weather condition information. Apart from the weather feature parameters, other forecasting features, such as data meta-data and consumed load, are required for demand load forecasting. The acquisition of this dataset could be unreliable due to the break-down or malfunctioning of energy meters. The dataset may thus contain non-sequential, missing, or nonsensical data. The consequential effects of such an event render the dataset highly unreliable and not suitable for accurate load forecasting.
