Search results for: A Vaghefi

Items from 1 to 14 out of 14 results

article

Managing demand uncertainty with cost-for-deviation retail pricing

Jianmin Zhu, Seyed A. Vaghefi, Mohsen A. Jafari, Yan Lu, more

Energy and Buildings > 2016 > 118 > C > 46-56

The current rate structures for the electricity retailing exposes utility providers to the full wholesale market risks, and fail to incentivize end-use customers to better estimate and track their loads. In this paper, we propose a Cost-for-Deviation (CfD) retail-pricing scheme, which is designed to minimize the demand uncertainty of individual customers or communities. We formulate day-ahead planning...

article

A Hybrid Physics-Based and Data Driven Approach to Optimal Control of Building Cooling/Heating Systems

S. A. Vaghefi, M. A. Jafari, J. Zhu, J. Brouwer, more

IEEE Transactions on Automation Science and Engineering > 2016 > 13 > 2 > 600 - 610

This work integrates a physics-based model with a data driven time-series model to forecast and optimally manage building energy. Physical characterization of the building is partially captured by a collection of zonal energy balance equations with parameters estimated using a least squares estimation (LSE) technique and data initially generated from the EnergyPlus building model. A generalized Cochran–Orcutt...

article

Modeling industrial loads in non-residential buildings

A. Vaghefi, Farbod Farzan, Mohsen A. Jafari

Applied Energy > 2015 > 158 > C > 378-389

Industrial loads in non-residential buildings have significantly contributed in total energy use throughout the world. This paper aims to develop a data-driven risk-based framework to predict and optimally control industrial loads in non-residential buildings. In the proposed framework, first, a set of predictive analytics tools are employed to identify the patterns of industrial loads over time....

article

Operational planning for multi-building portfolio in an uncertain energy market

Farbod Farzan, Seyed A. Vaghefi, Khashayar Mahani, Mohsen A. Jafari, more

Energy & Buildings > 2015 > 103 > Complete > 271-283

In this study, we propose an optimization framework for day-ahead operational planning of a multi-building portfolio under market uncertainty. The portfolio of interest consists of two groups of buildings: controllable and uncontrollable. In the proposed framework, first, physics-based and statistical models are developed for estimation and prediction of end-use consumptions including Heating, Ventilation...

article

Modeling and forecasting of cooling and electricity load demand

A. Vaghefi, M.A. Jafari, Emmanuel Bisse, Y. Lu, more

Applied Energy > 2014 > 136 > C > 186-196

The objective of this paper is to extend a statistical approach to effectively provide look-ahead forecasts for cooling and electricity demand load. Our proposed model is a generalized form of a Cochrane–Orcutt estimation technique that combines a multiple linear regression model and a seasonal autoregressive moving average model. The proposed model is adaptive so that it updates forecast values every...

article

Effect of non‐normality on the monitoring of simple linear profiles

R. Noorossana,, A. Vaghefi, M. Dorri

Quality and Reliability Engineering International > 27 > 4 > 425 - 436

In some statistical process control (SPC) applications, it is assumed that a quality characteristic or a vector of quality characteristics of interest follows a univariate or multivariate normal distribution, respectively. However, in certain applications this assumption may fail to hold and could lead to misleading results. In this paper, we study the effect of non‐normality when the quality of a...

chapter

Toward optimal resource-allocation for control of epidemics: An agent-based-simulation approach

P Kasaie, W D Kelton, A Vaghefi, S G R J Naini

Proceedings of the 2010 Winter Simulation Conference > 2237 - 2248

2010 Winter Simulation Conference (WSC 2010)

Employing mathematical modeling and analytical optimization techniques, traditional approaches to the resource-allocation (RA) problem for control of epidemics often suffer from unrealistic assumptions, such as linear scaling of costs and benefits, independence of populations, and positing that the epidemic is static over time. Analytical solutions to more realistic models, on the other hand, are...

article

Phase II monitoring of multivariate simple linear profiles

R. Noorossana, M. Eyvazian, A. Vaghefi

Computers & Industrial Engineering > 2010 > 58 > 4 > 563-570

In some quality control applications, quality of a product or process can be characterized by a relationship between two or more variables that is typically referred to as profile. Moreover, in some situations, there are several correlated quality characteristics, which can be modeled as a set of linear functions of one explanatory variable. We refer to this as multivariate simple linear profiles...

article

Contribution of simulation to the optimization of inspection plans for multi-stage manufacturing systems

A. Vaghefi, Vahid Sarhangian

Computers & Industrial Engineering > 2009 > 57 > 4 > 1226-1234

In this paper we develop a new mathematical model to optimize inspection plans for multi-stage manufacturing systems with possible misclassification errors. The presented model minimizes total inspection related costs while still assuring a required output quality. Because of the complexity of the proposed mathematical model, a simulation algorithm is presented to model the multistage manufacturing...

chapter

Optimizing inspection strategies for multi-stage manufacturing processes using simulation optimization

V. Sarhangian, A. Vaghefi, H. Eskandari, M.K. Ardakani

2008 Winter Simulation Conference > 1974 - 1980

2008 Winter Simulation Conference (WSC)

This paper deals with the problem of determining the optimal inspection strategy for a multi-stage production process using simulation optimization. An optimal inspection strategy is the one that results in the lowest total inspection cost, while still assuring a required output quality. Because of the complexity of the problem, simulation is used to model the multi-stage process subject to inspection...

chapter

Statistical monitoring of multivariate linear profiles

A. Saghaei, R. Noorossana, M. Eyvazian, A. Vaghefi

2008 IEEE International Conference on Industrial Engineering and Engineering Management > 2037 - 2040

2008 IEEE International Conference on Industrial Engineering and Engineering Management

In some quality control applications, quality of a product or process can be represented by a relationship between two or more variables. This relationship is referred to as profile. However, in other practical applications, two or more profiles are required in order to model the quality of a product or process effectively. In this paper, we propose the use of a control chart scheme in phase II monitoring...

chapter

The effect of non-normality on performance of linear profile monitoring

R. Noorossana, A. Vaghefi, M. Dorri

2008 IEEE International Conference on Industrial Engineering and Engineering Management > 262 - 266

2008 IEEE International Conference on Industrial Engineering and Engineering Management

Interpretation of quality control charts is usually based on the assumption that successive observations are independent and identically distributed over time. In most statistical process control (SPC) applications, it is assumed that the quality characteristic or vector of quality characteristics of interest follows a univariate or a multivariate normal distribution, respectively. However, in certain...

article

Monitoring process variability using exponentially weighted moving sample variance control charts

Majid Eyvazian, S. G. Jalali Naini, A. Vaghefi

The International Journal of Advanced Manufacturing Technology > 2008 > 39 > 3-4 > 421-421

The online version of the article can be found at: http://dx.doi.org/10.1007/s00170-007-1213-7 .

article

Monitoring process variability using exponentially weighted moving sample variance control charts

Majid Eyvazian, S. G. Jalali Naini, A. Vaghefi

The International Journal of Advanced Manufacturing Technology > 2008 > 39 > 3-4 > 261-270

Exponentially weighted moving average (EWMA) control charts are regarded as one of the most convenient tools in detecting small process shifts. Although EWMA control charts have been extensively used to monitor the mean of quality characteristics, there are few studies concentrating on the monitoring of process variability by using weighted moving control charts. In this paper, we propose an exponentially...

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