What are weather models? Weather models are computer simulations of the atmosphere for weather research and forecasting. Weather forecasting is hard. To make accurate forecasts, meteorologists …

By the 1950s and 1960s, satellites and computer models could observe atmospheric pressure on a global scale and run data-driven simulations—all of which led to more accurate weather forecasting. …

What can we learn from weather forecasting that might help us develop more robust disease forecasting and outbreak predictions?

Forecasting pipelines allow for the sequential application of preprocessing steps and forecasting models, facilitating a streamlined workflow for time series forecasting tasks. While this tutorial solely focuses …

For businesses, weather is the ultimate force to be reckoned with. It can disrupt transportation and supply chains, throttle productivity, upend pricing and demand models, and destroy property. …

Load forecasting is the process of predicting how much electricity will be needed at a given time and how that demand will affect the utility grid.

In this tutorial, you will discover how to perform timeseries forecasting using the watsonx.ai Timeseries Forecasting API and SDK to predict energy demand. This notebook demonstrates the usage of a pre …

Researchers showed for the first time how existing weather forecast modeling can be used to show the human impact on extreme weather events.

NAMは、オープンソースの予測モデルであるWRF（Weather Research and Forecasting）モデルをベースに構築されており、米国海洋大気庁（NOAA）が運営する2つの広く使用されているモデル、 …

ARIMA stands for Autoregressive Integrated Moving Average and is a technique for time series analysis and forecasting possible future values of a time series.