Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Electricity market liberalization and the absence of cost-efficient energy storage
technologies have led to the transformation of state-owned electricity companies into …

The construction of a new power system dominated by renewables is crucial for achieving
China's goals of carbon emission peaking and carbon neutrality. While numerous studies …

Electricity price forecasting is essential for reliable and cost-effective operations in the power
industry. However, the complex and nonlinear structure of the electricity price series …

In integrated energy systems (IESs), reliable planning and operation are challenging owing
to significant uncertainties in energy production, utilization, and trading. To this end, this …

Operational decisions relying on predictive distributions of electricity prices can result in
significantly higher profits compared to those based solely on point forecasts. However, the …

Purpose This study aims to critically evaluate the competitiveness of Transformer-based
models in financial forecasting, specifically in the context of stock realized volatility …

This study evaluates TimesNet model for stock realized volatility forecasting, comparing its
efficacy against traditional and contemporary models across key metrics: RMSE, MAE …

This paper presents a novel hybrid approach for constricting probabilistic forecasts that
combines both the Quantile Regression Averaging (QRA) method and the factor-based …

Energy, the backbone of modern society, plays a crucial role in the development and
productivity of a nation. Predictive analysis in energy management is becoming increasingly …