1998
DOI: 10.1002/(sici)1099-114x(19980610)22:7<671::aid-er396>3.0.co;2-y
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Capital budgeting process for electric power utilities—an analytic hierarchy process approach

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Cited by 7 publications

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“…One of the reasons for selecting this method is provision of group cooperation. To mix different judgments of people, all the even comparisons matrixes were gathered and mixed the judgments by geometrical average and get relative weights of criteria and items [2].…”
Section: Analytical Hierarchy Process (Ahp)
mentioning
confidence: 99%
“…We should form the even comparison matrix of items toward all criteria toward objective. In this case, economical and technical information table (2) and 3which is collected by Tavanir production planning office organization [3] is used and also considering senior manager and industry experts points of view related to power plant energy, industry and numerous seniority meetings and expertise executive panels and using hierarchical analysis method, special weights are specified according to their importance. Even comparisons of this paper are done during three phases and according views of some experts in this field.…”
Section: -3-even Comparison and Priorities Extraction
mentioning
confidence: 99%
“…The first limitation represents total capacity of selected projects should be among required predicted load according to 25 to 30 percent circulatory storage. Restriction (2) and 3states the highest point of technologies. 4 restriction shows non-negative capacity of power plants.…”
Section: Linear Programming For First Phase Is As Below
mentioning
confidence: 99%
“…As throughout net load factor (LF) is estimated 62 percent [5] so limitation of produced energy of power plants are shown by limitation (7). Restriction (8) P pv + P Ge + P M + P Sh + P Solar ) (2) 0.62*( P W + P B + P Fc + P pv + P Ge + P M + P Sh + P Solar ) <= PF W * P W +PF B * P B +PF M * P M +PF Ge * P Ge +PF Sh * P Sh +PF Solar * P Solar +PF pv * P pv +PF Fc * P Fc (3) P W , P Ge , P M , P pv , P Sh , P Solar , P B , P Fc >= 0 (4) Now, by the gained total preference weights from firsts, second and third phases and tables (2) and 3data , problems of linear programming are as below and by its solution capacity of power plants foundation will be obtained.…”
Section: Linear Programming For Second Phase Is As Below
mentioning
confidence: 99%
See 3 more Smart Citations
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…One of the reasons for selecting this method is provision of group cooperation. To mix different judgments of people, all the even comparisons matrixes were gathered and mixed the judgments by geometrical average and get relative weights of criteria and items [2].…”
Section: Analytical Hierarchy Process (Ahp)
mentioning
confidence: 99%
“…We should form the even comparison matrix of items toward all criteria toward objective. In this case, economical and technical information table (2) and 3which is collected by Tavanir production planning office organization [3] is used and also considering senior manager and industry experts points of view related to power plant energy, industry and numerous seniority meetings and expertise executive panels and using hierarchical analysis method, special weights are specified according to their importance. Even comparisons of this paper are done during three phases and according views of some experts in this field.…”
Section: -3-even Comparison and Priorities Extraction
mentioning
confidence: 99%
“…The first limitation represents total capacity of selected projects should be among required predicted load according to 25 to 30 percent circulatory storage. Restriction (2) and 3states the highest point of technologies. 4 restriction shows non-negative capacity of power plants.…”
Section: Linear Programming For First Phase Is As Below
mentioning
confidence: 99%
“…As throughout net load factor (LF) is estimated 62 percent [5] so limitation of produced energy of power plants are shown by limitation (7). Restriction (8) P pv + P Ge + P M + P Sh + P Solar ) (2) 0.62*( P W + P B + P Fc + P pv + P Ge + P M + P Sh + P Solar ) <= PF W * P W +PF B * P B +PF M * P M +PF Ge * P Ge +PF Sh * P Sh +PF Solar * P Solar +PF pv * P pv +PF Fc * P Fc (3) P W , P Ge , P M , P pv , P Sh , P Solar , P B , P Fc >= 0 (4) Now, by the gained total preference weights from firsts, second and third phases and tables (2) and 3data , problems of linear programming are as below and by its solution capacity of power plants foundation will be obtained.…”
Section: Linear Programming For Second Phase Is As Below
mentioning
confidence: 99%
See 2 more Smart Citations
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.