[HTML][HTML] Electrical consumption forecasting in sports venues: A proposed approach based on neural networks and ARIMAX Models
Building energy demand accounts for an important part of global energy consumption and
emissions. Load forecasting is a crucial functionality for building management systems …
emissions. Load forecasting is a crucial functionality for building management systems …
Predicting Residential Electricity Consumption Using CNN-BiLSTM-SA Neural Networks
MP Wu, F Wu - IEEE Access, 2024 - ieeexplore.ieee.org
As global population growth and the use of household appliances increase, residential
electricity consumption has surged, leading to challenges in maintaining a balanced …
electricity consumption has surged, leading to challenges in maintaining a balanced …
[PDF][PDF] Categorizing attributes in identifying learning style using rough set theory
In a learning process, learning style becomes one crucial factor that should be considered.
However, it is still challenging to determine the learning style of the student, especially in an …
However, it is still challenging to determine the learning style of the student, especially in an …
Short-Term Power Load Forecasting Based on IWOA-Attention-BiLSTM
Z Liu, X Wang, J Xing, M Ren… - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
Accurate power load forecasting can significantly improve the economic benefits of power
systems. To improve the prediction accuracy, aiming at the complexity and volatility of power …
systems. To improve the prediction accuracy, aiming at the complexity and volatility of power …