A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score
Electric power forecasting plays a substantial role in the administration and balance of
current power systems. For this reason, accurate predictions of service demands are needed …
current power systems. For this reason, accurate predictions of service demands are needed …
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 …
electric power supply over time and can be used for flood control. In this sense, this paper …
Arima models in electrical load forecasting and their robustness to noise
The paper addresses the problem of insufficient knowledge on the impact of noise on the
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …
Forecasting China's hydropower generation capacity using a novel grey combination optimization model
B Zeng, C He, C Mao, Y Wu - Energy, 2023 - Elsevier
Hydropower is the largest renewable energy power generation source with the largest
construction scale and power generation capacity. A reasonable prediction of hydropower …
construction scale and power generation capacity. A reasonable prediction of hydropower …
Hydropower production prediction using artificial neural networks: an Ecuadorian application case
J Barzola-Monteses, J Gomez-Romero… - Neural Computing and …, 2022 - Springer
Hydropower is among the most efficient technologies to produce renewable electrical
energy. Hydropower systems present multiple advantages since they provide sustainable …
energy. Hydropower systems present multiple advantages since they provide sustainable …
Improved State-of-health prediction based on auto-regressive integrated moving average with exogenous variables model in overcoming battery degradation …
Abstract State-of-health (SOH) of lithium-ion battery is a health indicator that predicts the life
of target application by estimating the internal state of battery. It may alarm the replacement …
of target application by estimating the internal state of battery. It may alarm the replacement …
Energy consumption of a building by using long short-term memory network: a forecasting study
J Barzola-Monteses… - … Conference of the …, 2020 - ieeexplore.ieee.org
Buildings have a dominant presence in energy consumption for the transition to clean
energy. During 2017, construction and operation of buildings worldwide represented more …
energy. During 2017, construction and operation of buildings worldwide represented more …
Fault diagnosis and protection strategy based on spatio-temporal multi-agent reinforcement learning for active distribution system using phasor measurement units
T Zhang, J Liu, H Wang, Y Li, N Wang, C Kang - Measurement, 2023 - Elsevier
Active distribution system (ADS) requires intelligent sensors to provide real-time data. Due to
the harmonic distortion and sparse reward function, the multi-agent reinforcement learning …
the harmonic distortion and sparse reward function, the multi-agent reinforcement learning …
Geometrical Optimization of Pelton Turbine Buckets for Enhancing Overall Efficiency by Using a Parametric Model—A Case Study: Hydroelectric Power Plant “Illuchi …
J Erazo, G Barragan, M Pérez-Sánchez, C Tapia… - Energies, 2022 - mdpi.com
In Ecuador, the implementation of hydroelectric power plants has had a remarkable growth
in the energy sector due to its high efficiency, low environmental impact, and opportunities to …
in the energy sector due to its high efficiency, low environmental impact, and opportunities to …
Forecasting sustainable development goals scores by 2030 using machine learning models
Abstract The Sustainable Development Goals (SDGs) set by the United Nations are a
worldwide appeal to eliminate poverty, preserve the environment, address climate change …
worldwide appeal to eliminate poverty, preserve the environment, address climate change …