Average UK house prices may exceed £300K in 2025, driven by rising demand, market optimism and renewed developer activity.

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was ...

This work presents a hybrid and hierarchical deep learning model for midterm load forecasting. The model combines exponential smoothing (ETS), advanced long short-term memory (LSTM), and ensembling.

In this paper, we propose a hybrid time series forecasting model, named as the Adaptive Multivariate Exponential Smoothing-Recurrent Neural Networks (AMES-RNN), which enables accurate prediction for ...

What Is a Smoothing Constant in Forecasting?. You need forecasts for your small business. These forecasts can predict sales, revenue or customer demand. No matter how carefully you examine past ...

There’s nothing new about the rise and fall of the AI hype cycle. It’s been going on for decades. But AI may be ready to finally deliver this time.

Methods Three models for yearly time series predictions were built: autoregressive integrated moving average (ARIMA), simple exponential smoothing (SES), and Holt's double expansional smoothing (HDES) ...

Data smoothing is done by using an algorithm to remove noise from a data set. This allows important patterns to stand out.