Hybrid Method For Forecasting A Steel Mill's Sales

Application of a New Hybrid Method for Day-Ahead Energy Price Forecasting in Iranian Electricity Market

Abstract- In a typical competitive electricity market, a large number of short-term and long-term contracts are set on basis of energy price by an Independent System Operator (ISO). Under such circumstances, accurate electricity price forecasting can play a significant role in improving the more reasonable bidding strategies adopted by the electricity market participants. So, they cannot only r...

A Hybrid Intelligent System For Forecasting Gasoline Price

Sales Forecasting for Retail Chains

This paper presents a use case of data mining for sales forecasting in retail demand and sales prediction. In particular, the Extreme Gradient Boosting algorithm is used to design a prediction model to accurately estimate probable sales for retail outlets of a major European Pharmacy retailing company. The forecast of potential sales is based on a mixture of temporal and economical features inc...

A hybrid computational intelligence model for foreign exchange rate forecasting

Computational intelligence approaches have gradually established themselves as a popular tool for forecasting the complicated financial markets. Forecasting accuracy is one of the most important features of forecasting models; hence, never has research directed at improving upon the effectiveness of time series models stopped. Nowadays, despite the numerous time series forecasting models propos...

A Distributed Software for Collaborative Sales Forecasting

Main advantages of distributed software are that computers connected over a network may access information stored anywhere in the network at any time and get automatically notified about information changes. This paper describes how a distributed software is built for collaborative demand forecasting. Demand forecasts of both providers and clients can be accessed and used for getting a better i...