Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

Features of time series are useful in identifying suitable models for forecasting. We present a general framework, labelled Feature-based FORecast Model Selection (FFORMS), which selects forecast based on features calculated from each series. The FFORMS framework builds mapping that relates the to “best” model using classification algorithm such as random forest. is evaluated M-forecasting comp...

Observations of some phenomenon, the nature which changes over time, generates an ordered sequence, is called a time series. The statistical regularity series dynamics ȳ t average potato yield in Tashkent region Republic Uzbekistan (based on materials CSO for 2000-2018 year) was studied by method analysis Point and interval estimates were built with 95% guarantee, explicit types trends identifi...