Nonlinear ARIMAX model for long –term sectoral demand forecasting

Long-Term Water Demand Forecasting

This chapter reviews existing long term water demand forecasting methodologies. Based on an extensive literature review, it shows that the domain has benefited from contributions by economists, engineers and system modelers, producing a wide range of tools, many of which have been tested and adopted by practitioners. It illustrates, via three detailed case studies in the USA, the UK and Austral...

Long Term Electricity Demand Forecasting with Multi-agent-Based Model

Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks

Prediction of peak loads in Iran up to year 2011 is discussed using the Radial Basis Function Networks (RBFNs). In this study, total system load forecast reflecting the current and future trends is carried out for global grid of Iran. Predictions were done for target years 2007 to 2011 respectively. Unlike short-term load forecasting, long-term load forecasting is mainly affected by economy...

Different Methods of Long-Term Electric Load Demand Forecasting a Comprehensive Review

Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...

A short-term, pattern-based model for water-demand forecasting

Stefano Alvisi (corresponding author) Marco Franchini Dipartimento di Ingegneria, Università degli Studi di Ferrara, Ferrara 44100, Italy Tel.: +39 0532 97 4930 Fax: +39 0532 97 4870 E-mail: [email protected] Alberto Marinelli DISTART, Università degli Studi di Bologna, Bologna 40136, Italy The short-term, demand-forecasting model described in this paper forms the third constituent part of t...