Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
SR Moreno, LO Seman, SF Stefenon… - Energy, 2024 - Elsevier
Due to technological advancements, wind energy has emerged as a prominent renewable
power source. However, the intermittent nature of wind poses challenges in accurately …
power source. However, the intermittent nature of wind poses challenges in accurately …
Unit commitment problem for transmission system, models and approaches: A review
The realistic power systems include several types of controllers in transmission lines,
different types of energy storage systems (ESSs), and integration of various renewable …
different types of energy storage systems (ESSs), and integration of various renewable …
[HTML][HTML] Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
SF Stefenon, LO Seman, LSA da Silva… - International Journal of …, 2024 - Elsevier
This paper addresses the challenge of predicting dam level rise in hydroelectric power
plants during floods and proposes a solution using an automatic hyperparameters tuning …
plants during floods and proposes a solution using an automatic hyperparameters tuning …
A hybrid approach for unit commitment with splitting technique and local search
C Zhang, L Yang - Electric Power Systems Research, 2024 - Elsevier
In the modern electricity market, solving the unit commitment (UC) problem becomes more
challenging due to its large number of binary variables and coupling constraints. Therefore …
challenging due to its large number of binary variables and coupling constraints. Therefore …
[HTML][HTML] Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled …
Multi-energy synergy systems integrating high-penetration large-scale plug-in electric
vehicles, distributed renewable energy generations, and battery energy storage systems …
vehicles, distributed renewable energy generations, and battery energy storage systems …
[HTML][HTML] Multi-timescale optimal control strategy for energy storage using LSTM prediction–correction in the active distribution network
J Wu, Y Chen, J Zhou, C Jiang, W Liu - Frontiers in Energy Research, 2023 - frontiersin.org
The daily output of wind power is inversely proportional to the load demand in most
situations, which will lead to an increase in peak-to-valley difference and fluctuation. To …
situations, which will lead to an increase in peak-to-valley difference and fluctuation. To …