Paper aims This study analyzed the feasibility of the BiGRU-CNN artificial neural network as a forecasting tool for short-term electric load. This forecasting model can serve as a support tool related ...

. ├── main.py # Streamlit application ├── src/ │ ├── models/ │ │ ├── rough_set_fuzzy.py # Rough set fuzzy logic model │ │ └── intuitionistic_fuzzy.py # Intuitionistic fuzzy logic model │ └── utils/ │ ...

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

1 China Southern Power Grid Guizhou Power Supply Co., Ltd., Guiyang, Guizhou, China 2 Dongfang Electronics Co., Ltd., Yantai, Shandong, China Introduction: With increasing uncertainties on both the ...

ABSTRACT: Efficient and reliable Maximum Power Point Tracking (MPPT) is crucial for photovoltaic (PV) systems, particularly under rapidly changing irradiance and temperature. This paper proposes an ...

Abstract: This study investigates the development of Interval Type 2 Fuzzy Logic (IT2FL) for short-term load forecasting (STLF). Maintaining grid stability and assuring a steady supply of power is ...

WALNUT CREEK, Calif., Sept. 2, 2025 /PRNewswire/ -- GridX, the leading Enterprise Rate Platform provider to utilities, today announced the acquisition of Innowatts, a specialized provider of advanced ...

This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon Electrical ...

This study addresses the challenges in short-term electrical bus load forecasting. We propose a novel BLformer framework based on an enhanced Patch-TSTransformer. The framework quantifies the ...