IEEE

A Hybrid LSTM-CNN Model for Short-Term Photovoltaic Power Forecasting in Italy

Renewable energy sources, such as wind and solar, are becoming more popular for power generation due to their widespread availability and low cost [1], [2]. In 2023, global renewable capacity ...
PCMag

Looking to Blaze the AI Trail? Get a PC With a Dedicated GeForce RTX 50 Series GPU

The GeForce RTX 50 Series line of GPUs comes equipped with Tensor Cores designed for AI operations capable of achieving up to ...
Frontiers

Developing an explainable deep learning module based on the LSTM framework for flood prediction

Long short-term memory (LSTM) networks have become indispensable tools in hydrological modeling due to their ability to capture long-term dependencies, handle non-linear relationships, and integrate ...
USA Today

Double-Doubles coming soon: In-N-Out is set to open new locations in 4 states. See where.

LOS ANGELES − The expansion of the animal-style empire continues apace as California burger purveyor In-N-Out appears set to open at least seven new locations. Four of the new locations will be in the ...
Scientific Research Publishing

Precipitation Nowcasting in Dar es Salaam: Comparative Analysis of LSTM and Bidirectional LSTM for Enhancing Early Warning Systems ()

1 Department of Meteorology, School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China. 2 Tanzania Meteorological Authority, Dodoma, Tanzania. 3 School of ...
IEEE

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction

Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...
Frontiers

Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network

In the context of Integrated Energy System (IES), accurate short-term power demand forecasting is crucial for ensuring system reliability, optimizing operational efficiency through resource allocation ...