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Modellazione e ottimizzazione dell'energia rinnovabile e non rinnovabile: Utilizzo di tecniche di ottimizzazione dello sciame di particelle con algoritmo genetico e coefficiente di restrizione

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Price History & Forecast

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Last 66 days · 66 data points (no recent data)

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£67.00 £63.65 £64.99 £66.33 £67.67 £69.01 £70.35 23 July 2026 08 August 2026 24 August 2026 09 September 2026 26 September 2026
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Price Distribution

Price distribution over 66 days • 1 price levels

Days at Price
66 days 0 17 33 50 66 £67 Days at Price

Price Analysis

Most common price: £67 (66 days, 100.0%)

Price range: £67 - £67

Price levels: 1 different prices over 66 days

Description

In questo studio, una tecnica di ottimizzazione ibrida basata su Algoritmo Genetico-Coefficiente di Coefficiente di Ottimizzazione dello Sciame di Particelle (GA-CCPSO) sarà utilizzata per la progettazione ottimale di un HPS off-grid costituito da componenti RE come il solare fotovoltaico, il generatore di turbine eoliche, il generatore diesel e l'unità di accumulo a batteria (PV-WTG-DG-BS) HPS. Gli obiettivi di ottimizzazione proposti sono la minimizzazione del costo del ciclo di vita del sistema e dell'inquinamento ambientale totale. La scelta di ibridare due tecniche di ottimizzazione intelligente serve a superare la debolezza di una con l'altra. Alcuni studi hanno dimostrato che l'ibridazione di due tecniche di ottimizzazione intelligente per fornire una soluzione a un problema di ottimizzazione non solo migliorerà la qualità della soluzione ottenuta, ma migliorerà anche la velocità di convergenza del processo di ottimizzazione (Anand e Suganthi, 2017). Il modello HPS proposto, una volta sviluppato, può essere utilizzato come soluzione temporanea o a lungo termine per l'elettrificazione delle aree rurali a costi minimi e massima efficienza.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 March 2025
Listed Since
26 March 2025

Barcode

No barcode data available

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