Khassa Chay Stream Flow Forecasting by Markove Autoregressive AR. Model.(eng)

One Day Ahead Stream Flow Forecasting

performance of fuzzy logic in stream flow forecasting

river flow forecasting for a region has a special and important role for optimal allocation of water resources. in this research, for forecasting river flow process, fuzzy inference system (fis) is used. three parameters including precipitation, temperature and daily discharge are used for forecasting of daily river flow of lighvan river located in lighvanchai watershed. for the initial preproc...

Forecasting Missing Observations for Autoregressive Models by Control Method

The paper provides a new method for forecasting missing observations in incomplete data for autoregressive models.

Stream Analytics for Forecasting

The traditional approach of collecting, organising, storing, and analysing data is inadequate for applications where the reaction to events must be immediate. Filtering data streams prior to storage and analysis in order to reduce the volume of data is not efficient and degrades the information content that can be extracted. In contrast, new approaches, known as stream analytics, provide an abi...

Forecasting with Periodic Autoregressive Time Series Models

This chapter is concerned with forecasting univariate seasonal time series data using periodic autoregressive models We show how one should account for unit roots and deterministic terms when generating out of sample forecasts We illus trate the models for various quarterly UK consumption series This is the rst version July of a chapter that is to be prepared for potential inclusion in the Comp...