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 ...

You can use .9 as a smoothing constant for your forecasts. Multiplying your most previous month's figure by .9 can give you a fair idea of what the next month will produce. This figure applies to ...

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 uses an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be used to predict trends, such as those found in securities prices.