This study focuses on the forecasting of energy demands of residential and commercial sectors using linear and exponential functions. The coefficients were obtained from genetic and particle swarm optimization (PSO) algorithms. Totally, 72 different scenarios with various inputs were investigated. Consumption data in respect of residential and commercial sectors in Iran were collected from the ...

In this paper, we study the influence of seasonal demands and forecasts on performance an Automatic Pipeline, Variable Inventory, Order-Based, Production Control System (APVIOBPCS) using linear control theory. particular, consider a system that uses forecast based no-trend, additive-seasonality exponential-smoothing model, compare its to equivalent simple exponential smoothing. We find with for...

The medium density fiberboard (MDF) market demand was investigated during the years from 2004 to 2013 in Iran. Estimation of MDF demand was made by exponential smoothing method by the year 2018. The insight into the level of demand that might exist by the year 2013 was obtained by reviewing the production, import, export, and consumption of MDF on the Iran. The results show that the consumption...

in paper (2004) chang studied an inventory model under a situation in which the supplier provides the purchaser with a permissible delay of payments if the purchaser orders a large quantity. tripathi (2011) also studied an inventory model with time dependent demand rate under which the supplier provides the purchaser with a permissible delay in payments. this paper is motivated by chang (2004) ...

We study a loss system to forecast the demand for capacity based on the forecast demand for service and a specified service level. A little-used property of the Erlang loss formula allows the linear transformation of demand for service into demand for capacity. Next, given the forecast demand for capacity, we approximate a long run optimal capacity expansion policy by optimizing over successive...

This paper aimed at estimation of the per capita consumption of electricity in residential sector based on economic indicators in Iran. The Genetic Algorithm Electricity Demand Model (GAEDM) was developed based on the past data using the genetic algorithm approach (GAA). The economic indicators used during the model development include: gross domestic product (GDP) in terms of per capita and re...