Frontiers

A Hybrid CNN-LSTM approach for multi-step discharge forecasting with satellite data

The final, formatted version of the article will be published soon. An innovative hybrid forecasting model was developed to predict hourly river discharges up to 24 hours in advance. The proposed ...
IEEE

Evaluating LSTM Performance Across Varying Historical Data Sequences for Weather Forecasting in Virtual Power Plant Optimization

Abstract: The operation of Virtual Power Plants (VPPs), integrating renewable sources like wind and solar, relies on accurate weather forecasting. Long Short-Term Memory (LSTM) networks are widely ...
GitHub

Neural-Network-with-Financial-Time-Series-Data

An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
IEEE

A Comparative Study of LSTM Efficiency vs. Transformer Power for Localized Time Series Forecasting

Abstract: Forecasting multivariate time series increasingly uses deep learning, including models inspired by Neural Machine Translation (NMT). While Transformers excel at long-range dependencies, ...
Detroit Free Press

Is it spring yet? Time changes and when to expect warmer temperatures

Florida is experiencing freeze warnings, with subfreezing temperatures expected in some areas through Wednesday morning. Daylight Saving Time for 2026 will begin on Sunday, March 8, when clocks spring ...
Hosted on MSN

Northern lights forecast tonight: Check list of states and best time to watch aurora borealis

The northern lights could be visible across a large portion of the northern United States tonight (January 19-20), according to the National Oceanic and Atmospheric Administration (NOAA). A strong ...