Highlights What are the main findings? LightGBM, among the selected black-box models,
was identified as requiring explanation due to its performance in solar power generation …

Abstract Understanding complex Artificial Intelligence (AI) pipelines for time series
forecasting can be challenging for both experts and non-experts. This work introduces …

Time series forecasting aids decision-making, especially for stakeholders who rely on
accurate predictions, making it very important to understand and explain these models to …

Leakage current serves as a crucial indicator for assessing the pollution level of insulators,
and its variation exhibits a complex nonlinear continuous time series characteristic. Given …

Substations are integral components of urban energy infrastructure systems, serving as
lifelines within cities. Accurate real-time environmental data, especially indoor temperature …

В последние годы модели искусственного интеллекта (ИИ)[1–3], такие, как
ансамблевое обучение и глубокое обучение, продемонстрировали заметный успех в …

In recent years, artificial intelligence (AI)[1–3] models such as ensemble learning and deep
learning have demonstrated notable success in time series forecasting, particularly for long …