Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants

SF Stefenon, LO Seman, LS Aquino… - Energy, 2023 - Elsevier
Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …

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 …

Unit commitment problem for transmission system, models and approaches: A review

A Aharwar, R Naresh, V Sharma, V Kumar - Electric Power Systems …, 2023 - Elsevier
The realistic power systems include several types of controllers in transmission lines,
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 …

Multi-fidelity optimization for the day-ahead scheduling of Pumped Hydro Energy Storage

P Favaro, M Gobert, JF Toubeau - Journal of Energy Storage, 2024 - Elsevier
Optimizing the operation of Pumped-Hydro Energy Storage (PHES) requires accurately
representing nonlinearities, such as reservoir geometry and water-power conversion …

Enhancing hydroelectric inflow prediction in the Brazilian power system: A comparative analysis of machine learning models and hyperparameter optimization for …

EC da Silva, EC Finardi, SF Stefenon - Electric Power Systems Research, 2024 - Elsevier
Electricity generation in Brazil heavily depends on hydroelectric power, making it vulnerable
to fluctuations due to its reliance on weather patterns. Accurately forecasting water inflow …

Seq2Seq-LSTM with attention for electricity load forecasting in Brazil

WG Buratto, RN Muniz, A Nied, GV Gonzalez - IEEE Access, 2024 - ieeexplore.ieee.org
Electricity load forecasting is important to planning the decision-making regarding the use of
energy resources, in which the power system must be operated to guarantee the supply of …

Balancing operational efficiency and regulation performance, for guiding pumped-storage day-ahead scheduling

Y Xiao, M Zhang, L Lei, C Ma, Z Zhao, H Chen… - Journal of Cleaner …, 2024 - Elsevier
Pumped-storage plants (PSPs) have significant potential to regulate intermittent energy
sources. However, achieving coordinated optimization of regulation stability and operational …

Framework for short-term hydropower cascade–station–unit integrated multi-objective scheduling: Considering unit safety and economic efficiency

J Huang, H Qin, X Yang, K Shen, H Yao, X Chang… - Journal of …, 2025 - Elsevier
Short-term hydropower scheduling primarily focuses on maximizing economic benefits, and
the hydroelectric generating unit, as the primary component responsible for power …

Neural network informed day-ahead scheduling of pumped hydro energy storage

P Favaro, M Dolányi, F Vallée, JF Toubeau - Energy, 2024 - Elsevier
This paper presents a neural network-constrained optimization model for the optimal
scheduling of pumped hydro energy storage. Neural networks are trained offline to capture …