Exploiting Fourier Transform for Multi-scale Electric Load Forecasting
N Zhuang, XB Yang, PL Yang, CH Liang… - … Conference on Neural …, 2024 - Springer
Accurate electric load forecasting is one important issue in many applications for power grid
systems. However, traditional forecasting models have limitations in capturing nonlinear …
systems. However, traditional forecasting models have limitations in capturing nonlinear …
Artificial Intelligence-Based Prediction of Flexibility Requirements in Power Systems
MR Zarei-Jeliani, M Fotuhi-Firuzabad… - 2024 32nd …, 2024 - ieeexplore.ieee.org
In the evolving landscape of power systems, the integration of renewable energy sources
introduces a significant layer of variability and uncertainty demanding strategic finesse to …
introduces a significant layer of variability and uncertainty demanding strategic finesse to …
Short-Term Electricity Demand Forecasting Model Based on Recurrent Neural Networks.
AR Rocha de la Cruz - 2024 - bibdigital.epn.edu.ec
En este trabajo de titulación se presenta el desarrollo de un modelo de pronóstico de
demanda de energía eléctrica a corto plazo basado en Redes Neuronales Recurrentes …
demanda de energía eléctrica a corto plazo basado en Redes Neuronales Recurrentes …