Short-term load forecasting models: A review of challenges, progress, and the road ahead
Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of
future electricity demand are necessary to ensure power systems' reliable and efficient …
future electricity demand are necessary to ensure power systems' reliable and efficient …
[HTML][HTML] Deep learning methods utilization in electric power systems
The fast expansion of renewable energy sources, rising electricity demand, and the
requirement for improved grid dependability have made it necessary to create cutting-edge …
requirement for improved grid dependability have made it necessary to create cutting-edge …
[HTML][HTML] A new approach to seasonal energy consumption forecasting using temporal convolutional networks
There has been a significant increase in the attention paid to resource management in smart
grids, and several energy forecasting models have been published in the literature. It is well …
grids, and several energy forecasting models have been published in the literature. It is well …
Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran
Predicting the groundwater level (GWL) is essential in water resource management and
irrigation planning in arid and semi-arid areas. In this study, an artificial neural network …
irrigation planning in arid and semi-arid areas. In this study, an artificial neural network …
Short-Term Load Forecasting in Smart Grids using Hybrid Deep Learning
Load forecasting in Smart Grids (SG) is a major module of current energy management
systems, that play a vital role in optimizing resource allocation, improving grid stability, and …
systems, that play a vital role in optimizing resource allocation, improving grid stability, and …
Workflow Scheduling Scheme for Optimized Reliability and End-to-End Delay Control in Cloud Computing Using AI-Based Modeling
In the context of cloud systems, the effectiveness of placing modules for optimal reliability
and end-to-end delay (EED) is directly linked to the success of scheduling distributed …
and end-to-end delay (EED) is directly linked to the success of scheduling distributed …
[PDF][PDF] Results in Engineering
There has been a significant increase in the attention paid to resource management in smart
grids, and several energy forecasting models have been published in the literature. It is well …
grids, and several energy forecasting models have been published in the literature. It is well …