In this paper, two methods for short-term load forecasting are compared; namely, artificial neural networks (ANNs) and multiple linear regression (MLR). Only input features that had a very large ...

Variable energy generation, particularly from renewable energy resources such as wind and solar energy plants have created operational challenges for the electric power grid because of the uncertainty ...

Prompt-Based Approach: Moving away from conventional numerical regression models, we reframe the task into a prompt-based question-answering perspective. Social Reasoning: Beyond physics-based ...

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...