2-DIMENSIONAL COLOR PATTERN LOAD ANALYSIS - A TOOL SUPPORTING DEMAND-SIDE MANAGEMENT

MITROPOULOS, S; ASSIMAKOPOULOS, V; CHARALABIDIS, Y

dc.contributor.author	MITROPOULOS, S	en
dc.contributor.author	ASSIMAKOPOULOS, V	en
dc.contributor.author	CHARALABIDIS, Y	en
dc.date.accessioned	2014-03-01T01:43:46Z
dc.date.available	2014-03-01T01:43:46Z
dc.date.issued	1995	en
dc.identifier.issn	0167-9236	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24201
dc.subject	DECISION SUPPORT SYSTEMS	en
dc.subject	COMPUTE GRAPHICS	en
dc.subject	PATTERN RECOGNITION	en
dc.subject	DEMAND-SIDE MANAGEMENT	en
dc.subject	LOAD ANALYSIS	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Operations Research & Management Science	en
dc.title	2-DIMENSIONAL COLOR PATTERN LOAD ANALYSIS - A TOOL SUPPORTING DEMAND-SIDE MANAGEMENT	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1995	en
heal.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.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	DECISION SUPPORT SYSTEMS	en
dc.identifier.isi	ISI:A1995QH94700005	en
dc.identifier.volume	13	en
dc.identifier.issue	2	en
dc.identifier.spage	159	en
dc.identifier.epage	166	en