Locational Marginal Electricity Price Forecasting-Based Self-Attention Mechanism and Simulated Annealing Optimizer using Big Data

Effective short-term Locational Marginal Price Forecasting (LMPF) is difficult in view of the high sensibility of the electricity price in deregulated markets. This paper proposes an accurate forecasting algorithm for LMPF using the latest breakthroughs in deep learning. Specifically, the proposed strategy is composed of a Hybrid Feature Selector (HFS), hyperparameter tuning using Simulated Anneal...