Load Forecasting for the Laser Metal Processing Industry Using VMD and Hybrid Deep Learning Models
Electric load forecasting is crucial for the metallurgy industry because it enables effective
resource allocation, production scheduling, and optimized energy management. To achieve …
resource allocation, production scheduling, and optimized energy management. To achieve …
[PDF][PDF] Grid search of multilayer perceptron based on the walk-forward validation methodology
Multilayer perceptron neural network is one of the widely used method for load forecasting.
There are hyperparameters which can be used to determine the network structure and used …
There are hyperparameters which can be used to determine the network structure and used …
An effective deep learning neural network model for short‐term load forecasting
N Li, L Wang, X Li, Q Zhu - Concurrency and Computation …, 2020 - Wiley Online Library
Energy load forecasting plays an important role in the smart grid, which can affect the
promoting energy production and consumption decision‐making processes. In this paper …
promoting energy production and consumption decision‐making processes. In this paper …
A deep learning short-term load forecasting method for extreme scenarios
W Ling, Y Sun, Q Li, J Lin, J Hu… - Eighth International …, 2023 - spiedigitallibrary.org
Short-term load forecasting is a crucial for improving the level of power grid dispatching and
operation. In recent years, extreme weather occurs frequently, and deep learning is a …
operation. In recent years, extreme weather occurs frequently, and deep learning is a …