GitHub

BayesTheory/SpatioTemporal-Wind-Forecasting

An advanced Deep Learning pipeline for spatio-temporal wind speed forecasting using ConvLSTM, PredRNN, and a state-of-the-art Transformer model (PredFormer Fac-T-S). This project handles the entire ...
IEEE

Forecasting Energy Consumption of a Mining Plant Using Artificial Neural Networks

Abstract: This study addresses the issue of forecasting active and reactive power consumption at a mining and processing plant, aiming to improve the efficiency of energy resource management. It ...
IEEE

Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique

Abstract: This paper introduces a new hybrid time series forecasting technique to obtain an efficient and accurate daily crude oil prices forecast. The proposed hybrid technique combines the features ...
GitHub

real-time-forecasting

A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, ...
Phys.org

Functional forecasting: Using Homeland Security exercises to evaluate storm decision support tool

In a paper in the Journal of Coastal and Riverine Flood Risk, a team from the University of Rhode Island discusses the novel application of Homeland Security exercises to evaluate emergency managers' ...