Two-dimensional colour pattern load analysis: A tool supporting demand-side management
Load analysis is one of the most important operations that support demand-side management in large electric utilities. Ordinary load analysis techniques stress on statistical processing of hourly load data along predefined time axes, producing numerical results of a standard granularity, such as dai...
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Published in | Decision Support Systems Vol. 13; no. 2; pp. 159 - 166 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.02.1995
Elsevier Sequoia S.A |
Subjects | |
Online Access | Get full text |
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Abstract | Load analysis is one of the most important operations that support demand-side management in large electric utilities. Ordinary load analysis techniques stress on statistical processing of hourly load data along predefined time axes, producing numerical results of a standard granularity, such as daily or weekly mean loads. In order to overcome these limitations, a new approach or load analysis was developed, based on applying a two-dimensional formulation of the hourly load data. The tables holding energy consumption values, where columns represent the days of the selected period and lines represent the 24 hours of the day, are then illustrated through the use of colour patterns. In such a way, chronological typical units of variable structure and granularity can be identified and provide the basis for an extensive cross-examination, resulting in optimized decision making and energy policy definition. In order to demonstrate the advantages of the approach, a dedicated DSS implementation and application in the Greek public power corporation was also performed. |
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AbstractList | Load analysis is one of the most important operations that support demand-side management in large electric utilities. Ordinary load analysis techniques stress on statistical processing of hourly load data along predefined time axes, producing numerical results of a standard granularity, such as daily or weekly mean loads. In order to overcome these limitations, a new approach or load analysis was developed, based on applying a two-dimensional formulation of the hourly load data. The tables holding energy consumption values, where columns represent the days of the selected period and lines represent the 24 hours of the day, are then illustrated through the use of colour patterns. In such a way, chronological typical units of variable structure and granularity can be identified and provide the basis for an extensive cross-examination, resulting in optimized decision making and energy policy definition. In order to demonstrate the advantages of the approach, a dedicated DSS implementation and application in the Greek public power corporation was also performed. Load analysis is one of the most important operations that support demand-side management in large electric utilities. Ordinary load analysis techniques stress statistical processing of hourly load data along predefined time axes, producing numerical results of a standard granularity, such as daily or weekly mean loads. In order to overcome these limitations, a new approach or load analysis is developed, based on applying a 2-dimensional formulation of the hourly load data. The tables holding energy consumption values, where columns represent the days of the selected period and lines represent the 24 hours of the day, are illustrated through the use of color patterns. In such a way, chronological typical units of variable structure and granularity can be identified and provide the basis for an extensive cross-examination, resulting in optimized decision making and energy policy definition. In order to demonstrate the advantages of the approach, a dedicated decision support system implementation and application in the Greek public power corporation is performed. |
Author | Charalabidis, Y. Assimakopoulos, V. Mitropoulos, S. |
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Copyright | 1995 Copyright Elsevier Sequoia S.A. Feb 1995 |
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Keywords | Decision support systems Pattern recognition Load analysis Demand-side management Compute graphics |
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References | Illuminating Engineering Society of North America (BIB4) 1984 Benbasat, Nault (BIB1) 1990; 6 Schaefer (BIB6) June 1985 du Toiot, Steyn, Stumpf (BIB2) 1986 Mitropoulos, Assimakopoulos, Samouilidis (BIB5) 1993 Gellings (BIB3) June 1985 Gellings (10.1016/0167-9236(93)E0054-H_BIB3) 1985 Illuminating Engineering Society of North America (10.1016/0167-9236(93)E0054-H_BIB4) 1984 Benbasat (10.1016/0167-9236(93)E0054-H_BIB1) 1990; 6 du Toiot (10.1016/0167-9236(93)E0054-H_BIB2) 1986 Schaefer (10.1016/0167-9236(93)E0054-H_BIB6) 1985 Mitropoulos (10.1016/0167-9236(93)E0054-H_BIB5) 1993 |
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SubjectTerms | Compute graphics Decision support systems Demand side management Electric utilities Energy consumption Load Load analysis Operations research Optimization Pattern recognition Studies |
Title | Two-dimensional colour pattern load analysis: A tool supporting demand-side management |
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