Ant International Open Sources Time-Series Transformer AI Model to Enable More Businesses to Benefit from AI-Powered Forecasting

"By open-sourcing our proven Falcon TST model, we aim to advance the field through global collaboration -- inviting scientists worldwide to contribute real-world feedback and accelerate innovation in ...
Business Wire

Planet Releases Analysis-Ready PlanetScope Product for Time-Series Analysis and Machine Learning Models

SAN FRANCISCO--(BUSINESS WIRE)--Planet Labs PBC (NYSE: PL), a leading provider of daily data and insights about Earth, today released Analysis-Ready PlanetScope (ARPS). ARPS harnesses a cutting-edge ...
ascopubs.org

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

This study used SEER data from 1975 to 2018 and included 545,486 patients with lung cancer. The best parameters for ARIMA are ARIMA (p, d, q) = (0, 2, 2). In addition, the best parameter for SES was α ...
JSTOR Daily

THE ROLE OF INITIAL VALUES IN CONDITIONAL SUM-OF-SQUARES ESTIMATION OF NONSTATIONARY FRACTIONAL TIME SERIES MODELS

In this paper, we analyze the influence of observed and unobserved initial values on the bias of the conditional maximum likelihood or conditional sum-of-squares (CSS, or least squares) estimator of ...
PV Tech

Moving beyond TMY: Why the solar industry needs time series data for PV project evaluation

Solargis’ Evaluate 2.0 platform uses more granular time series data. Image: Solargis. For years, the solar industry has relied on Typical Meteorological Year (TMY) data as the standard for PV ...