A decision support system for electric utilities: compliance with Clean Air Act

Ghandforoush, Parviz; Sen, Tarun K.; Wander, Michael

doi:10.1016/s0167-9236(99)00056-1

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Mandatory IS investments disrupt the routine described in Henderson's and Sifonis' model. As shown in Figure 2, the first two steps of the routine are bypassed because the investment is directly triggered by the regulation and not by business needs (Ghandforoush et al, 1999).…”

Section: Mandatory Is Investmentsmentioning

confidence: 99%

Competitive advantage from mandatory investments: An empirical study of Australian firms

Krell

Matook

2009

The Journal of Strategic Information Systems

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Section: Mandatory Is Investmentsmentioning

confidence: 99%

Competitive advantage from mandatory investments: An empirical study of Australian firms

Krell

Matook

2009

The Journal of Strategic Information Systems

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“…[5] and [6], DSSs were proposed for assisting the competitors in their trading strategies for the electricity market. Also, for the utility companies, there are proposals of DSS for the planning and expansion of the distribution system network based on geographic information system (GIS) [7,8], for power grid operation and planning considering meteorological conditions [9], for analyzing disturbances of electrical power distribution transformers to diagnosing failures [10], and for assisting utilities to comply with the limits of sulfur dioxide (SO 2 ) emissions [11]. Additionally, some DSSs have been proposed for the producers and consumers, including support for the calculation of the solar energy potential of surfaces in urban landscapes [12], for managing energy-efficient buildings [13], and also for assisting consumers to participate in demand response programs [14].…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System for Planning and Operation of Maintenance and Customer Services in Electric Power Distribution Systems

Barriquello¹,

Garcia²,

MagdielSchmitz³

et al. 2017

System Reliability

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This chapter aims to present the design and development of a decision support system (DSS) for the analysis, simulation, planning, and operation of maintenance and customer services in electric power distribution system (EPDS). The main objective of the DSS is to improve the decision-making processes through visualization tools and simulation of real cases in the EPDS, in order to allow better planning in the short, medium, and long term.Therefore, the DSS helps managers and decision-makers to reduce maintenance and operational costs, to improve system reliability, and to analyze new scenarios and conditions for system expansion planning. First, we introduce the key challenges faced by the decisionmakers in the planning and operation of maintenance and customer services in EPDS. Next, we discuss the benefits and the requirements for the DSS design and development, including use cases modeling and the software architecture. Afterwards, we present the capabilities of the DSS and discuss important decisions made during the implementation phases. We conclude the chapter with a discussion about the obtained results, pointing out the possible enhancements of the DSS, future extensions, and new use cases that may be addressed.

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“…The forthcoming Russia's accession to the WTO in the near future requires the state and the majority of branchforming enterprises to start thinking about competition on the part of Western companies and the need for investment [7,8].…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of state support of investment process

Chernyatieva¹

2017

Proceedings of the International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017

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Abstract-In this article, the mathematical model of the state support of investments is analyzed. The target function represents the maximal tax budgetary payments; the system of restrictions consists of linear and nonlinear functions, which corresponds to normative data. The maximal tax efficiency portfolio is generated by the principle of Pareto. The relevance of the proposed model follows from the current development of Russia and the situation on the international financial markets. In this regard, mechanisms and models are needed to assess the effectiveness of the funds invested by the state. The author proposes and analyzes a mathematical model of state support for investments. The target functional is the maximum tax budget allocations, the system of restrictions -linear and nonlinear functions, corresponding to regulatory data. It is proved that the formulated problem is a convex programming problem. According to the Pareto principle, an optimal set of basic criteria characterizing the financial stability of the investment project is determined. The portfolio is formed by the criterion of maximum tax efficiency. To solve the problems of assessing the effectiveness of investment projects today, there is a wide range of instrumental methods. Thus, using the mathematical model of state support for investments, the state obtains a mechanism to increase the efficiency of its activities, to support the modernization and technical re-equipment of enterprises in the most painless ways without losing its independence, and also to predict the consequences of its actions on the monetary policy being implemented.

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A decision support system for electric utilities: compliance with Clean Air Act

Cited by 5 publications

References 7 publications

Competitive advantage from mandatory investments: An empirical study of Australian firms

Competitive advantage from mandatory investments: An empirical study of Australian firms

A Decision Support System for Planning and Operation of Maintenance and Customer Services in Electric Power Distribution Systems

Mathematical modeling of state support of investment process

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