IEEE

A Monthly Electricity Demand Forecasting Method Based on a Prophet- Long Short-Term Memory Hybrid Model

Abstract: This paper proposes a hybrid forecasting framework that integrates the Prophet time series decomposition model with a Long Short-Term Memory (LSTM) neural network. The model fully leverages ...

AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
IEEE

Power Load Forecasting Based on GA-Optimized CNN-LSTM Model

Abstract: This paper proposes a short-term load forecasting method based on a GA-optimized CNN-LSTM model. The model combines the strengths of CNN in extracting local spatial features and LSTM in ...