A Locational Marginal Price Forecast Method Considering the Spatial Relation in Input Features
Q Li, M Shi, Z Zhu, H Mi, Y Zhang… - 2024 4th Power System …, 2024 - ieeexplore.ieee.org
Accurate locational marginal price (LMP) prediction is important for electricity market
participants to form bidding strategies and improve profits. Machine-learning-based …
participants to form bidding strategies and improve profits. Machine-learning-based …
Practical Application of Deep Modified Autoencoder Technique to Electricity Price Forecasting
K Yamada, H Mori - … on Energy Technologies for Future Grids …, 2023 - ieeexplore.ieee.org
This paper proposes a method for electricity price forecasting (EPF) with Deep Modified
Autoencoder (DMAE). It is based on a deep model of the modified Autoencoder (MAE) that …
Autoencoder (DMAE). It is based on a deep model of the modified Autoencoder (MAE) that …
Forecasting Electricity Prices for the Feasibility of Renewable Energy Plants
Feasibility studies in assessing the viability of renewable energy investments involve
conducting economic analyses to evaluate crucial performance criteria such as return on …
conducting economic analyses to evaluate crucial performance criteria such as return on …