Electricity Load Forecasting Using LSTM for Household Usage

For the electrical industry to run smoothly, load projections are crucial. Electricity demand varies over time, short-term energy forecasting is very useful and will enable us to address the problem even in an emergency. It can be used for many different things, such as the generation and purchase of energy, load shedding, infrastructure improvement, and contract review. In this context, energy planning and need-based power generation are significant. Knowledge of electricity load forecasting can be applied to the creation of clever grids. For load prediction, numerous mathematical techniques have been developed. This paper utilizes a long short-term memory (LSTM)-based short-term electrical load forecasting to make short-term electricity predictions more accurate. The LSTM-based short-term electrical load forecasting could arrive at an accuracy of 90.33%.