IEEE

Dilated Convolution LSTM for Time Series Forecasting in the Field of Energy Consumption

Abstract: The forecast models of energy consumption cover a lot of ground, such as energy storage, abnormal detection, energy management system, and control applications. There are still many problems ...
IEEE

Comparison of LSTM and ARIMA Algorithms in Predicting Water Levels in Jakarta

Abstract: This study evaluates the efficacy of Long Short-Term Memory (LSTM) and Autoregressive Integrated Moving Average (ARIMA) algorithms in forecasting water levels (TMA) in Jakarta. The dataset ...