Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.

Multiscale-integrated deep learning approaches for short-term load forecasting.

Advancements in Q-learning meta-heuristic optimization algorithms: A survey.

An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning.

Robust penalized extreme learning machine regression with applications in wind speed forecasting.

An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems.

A hybrid robust system considering outliers for electric load series forecasting.