The green innovations in the energy sector are smart solutions to meet excessive power requirements through renewable resources (RERs). These have forwarded revolutionary relief control of carbon dioxide gaseous emissions from traditional resources. use RERs a heuristic manner is necessary demand side management microgrids (MGs). pricing scheme limitations hinder profit maximization MG and thei...

Abstract A supply and demand balance control method for an electrical submersible linear motor utilised in offshore oil exploitation is proposed this study. The permanent magnet replaced by based on switched reluctance motor. sensorless further enhances the stability of system. Meanwhile, a to maintain fullness plunger pump within ideal range. An established speed function allows dynamically al...

This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning of demand-side Bulk Electricity Market Customers (BEMCs). The Ontario electricity market is selected as the primary case market and its structure is studied in detail. A set of explanatory variable cand...

Calculating explicit closed form solutions of Cournot models where firms have private information about their costs is, in general, very cumbersome. Most authors consider therefore linear demands and constant marginal costs. However, within this framework, the nonnegativity constraint on prices (and quantities) has been ignored or not properly dealt with and the correct calculation of all Bayes...

In a linear programming (LP), market demand is assumed to be constant, but the demand is often random variable which is to be realized as time lapses. We refined the previous work of Higle and Wallace (2003) who studied an LP depending on the timing of market demand realization. The motivation of this research is the need to consider three operational strategies used for dealing with demand unc...

In this paper we formulate a two-stage stochastic quadratic optimization problem, that models a production planning problem of multiple products, over several time periods, with uncertain demands. This model considers quadratic inventory holding and demand backlogging recourse costs, which model the saturation phenomenon inherent to the increase of the inventory and/or backlogged demand levels....

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...

In this article we show how to implement merger simulation in Stata after estimating an aggregate nested logit demand system with a linear regression model. We also show how to implement merger simulation when the demand parameters are not estimated, but instead calibrated to be consistent with outside information on average price elasticities and pro…t margins.