Italian experience on neural network application for household electricity consumption forecast. Special emphasis on renovation

Tupėnaitė, Laura

Use this url to cite publication: https://hdl.handle.net/20.500.14911/144524

Italian experience on neural network application for household electricity consumption forecast. Special emphasis on renovation

Details

Publication Type (CRIS)

Straipsnis nerecenzuojamoje Lietuvos konferencijos medžiagoje / Article in non-peer-reviewed Lithuanian conference proceedings (P2c)

Publication Type (eLABa)

Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings (P2)

Author(s)

Author	Affiliation
Tupėnaitė, Laura	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)

Title

Italian experience on neural network application for household electricity consumption forecast. Special emphasis on renovation

[en]

Laura Tupėnaitė

Title in other language

Italijos patirtis taikant neuroninių tinklų metodą gyvenamųjų namų elektros energijos suvartojimo prognozavimui. Metodo taikymas atliekant renovaciją

[lt]

Is part of

Statyba: 10-osios Lietuvos jaunųjų mokslininkų konferencijos Mokslas - Lietuvos ateitis, įvykusios Vilniuje 2007 m. kovo 29-30 d., pranešimų rinkinys

Published In

Year	Start Page	End Page
2007	451	456

Publisher

Vilnius : Technika, 2007

Extent

p. 451-456

URI

URI
https://hdl.handle.net/20.500.14911/144524

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Statybos inžinerija / Civil engineering (T002)

Keywords (en)

Abstract (en)

The issue is mainly based on Palermo University, Department of Energy and Environmental Research scientists experience on neural network application for HVAC systems energy consumption forecasting. It presents a forecasting model based on Elman Artificial Neural Network (ANN) for the short time prediction of the household electricity consumption related to the area. The model mainly used for Mediterranean area energy consumption forecasting can also be applied for heating energy consumption forecasting due to renovation works and renovation efficiency estimation.