contracted is known as the demand cost optimization problem and would save US$ 38 billion globally to customers. This work describes the problem through a graphical approach and …

Nov 1, 2016 · This paper presents a new algorithm for solving the optimal contract capacities of a time-of-use (TOU) rates industrial customer. This algorithm is named iteration particle swarm...

Jan 9, 2020 · Globally, the optimal solution to the DCO problem could save US$ 38 billion to customers. Thus, it is essential to develop a method for determining the optimum CD value for …

May 8, 2018 · The obtained results validate various capabilities of the proposed algorithm and highlight the robustness of the optimal solution in the presence of even infinite amounts of data …

Abstract— This paper presents a new algorithm to solve the contracted capacity optimization problem in Singapore to achieve the optimal contracted capacity for a number of monthly...

Previous studies used particle swarm optimization (PSO) to find the optimal contract capacity for time-of-use (TOU) rate customers and the stochastic search algorithm to optimize the contract …

Jan 9, 2020 · This paper presents a new algorithm for solving the optimal contract capacities of a time-of-use (TOU) rates industrial customer. This algorithm is named iteration particle swarm...

Jun 9, 2021 · In this article, we present a solution for entrepreneurs which is based on the implementation of two stage approach to predict maximal load values and the moments of …

The simplicity of this model is a key feature that makes it very useful for large customers subject to demand contracts. In this case, the demand cost for one year is calculated as (4). The MILP …

This paper presents a novel approach to compute optimal machine capacity expansion/contraction times under uncertain demand. A polynomial time …