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2007 IEEE Power Engineering Society General Meeting, PES
publication venue for: Forecast techniques applied to feasibility studies for micro-hydraulic generation
type: Document
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type: Information Content Entity
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RDF description of Forecast techniques applied to feasibility studies for micro-hydraulic generation - http://orbis.uaslp.mx/vivo/individual/scopus7637
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date: 2026-08-27T20:12:23
publisher: vivo
type: Document

Forecast techniques applied to feasibility studies for micro-hydraulic generation
origen: scopus
type: Document
freetext keyword: ARIMA; Evolutionary computation; Forecast techniques; Micro-hydraulic generation; Neural networks; Time series Evolutionary algorithms; Hydroelectric power plants; Neural networks; Time series analysis; Forecast techniques; Micro-hydraulic generation; Hydroelectric power
most specific type: Document
type: Generically Dependent Continuant
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has publication venue: 2007 IEEE Power Engineering Society General Meeting, PES
type: Entity
doi: 10.1109/PES.2007.385634
date time value: conference paper date 7638
type: Article
artnum: 4275243
type: Continuant
type: Conference Paper
most specific type: Conference Paper
estado: published
crisid: 7638
type: Thing
EI dscopus: 2-s2.0-42549161043
abstract: This paper presents the application of time series forecasting techniques to feasibility studies of micro-hydraulic generation. Available literature, details several techniques developed and implemented to perform time series forecasting. This paper will focus on the following techniques: ARIMA (Auto-regressive Integrated Moving Average), Neural Networks and Evolutionary Computation (EC). Based on the obtained results of the forecast techniques applied to the water flow time series, it is possible to determine if a micro-hydraulic plant can be installed, the theoretical power generation and the technical characteristics of each electro-mechanical component of the micro-hydraulic generation system. © 2007 IEEE.
related by: authorship_48757
related by: authorship_48758

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Conference Paper
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