๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Artificial neural network for forecasting residential electrical energy

โœ Scribed by Abdallah Al-Shehri

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
173 KB
Volume
23
Category
Article
ISSN
0363-907X

No coin nor oath required. For personal study only.

โœฆ Synopsis

An arti"cial neural network (ANN) model for forecasting the residential electrical energy (REE) in the Eastern Province of Saudi Arabia is presented. A comparison of the neural model with the polynomial "t is made for validation purposes. The results show that the forecasting of the REE predicted by the ANN is closer to the real data than that predicted by the polynomial "t model.

๐Ÿ“œ SIMILAR VOLUMES

Feed-forward artificial neural network m
Feed-forward artificial neural network model for forecasting rainfall run-off
โœ Roger D. Braddock; Michael L. Kremmer; Louis Sanzogni ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 202 KB

This paper presents the results of a blind test of the ability of a feed-forward artiยฎcial neural network to provide out-of-sample forecasting of rainfall run-o using real data. The results obtained are comparable with the results obtained using best methods currently available. The focus of the pap

Artificial neural networks for thermopie
Artificial neural networks for thermopiezoelectric systems
โœ Mehmet Sunar ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 111 KB ๐Ÿ‘ 2 views

A radial basis function}arti"cial neural network modelling of thermopiezoelectric systems is presented. The neural network model can emulate the electrical response of two thermopiezoelectric layers bonded on a cantilever beam structure. The electrical outputs of thermopiezoelectric layers are due t

A simple forecasting model for industria
A simple forecasting model for industrial electric energy consumption
โœ Abdallah Al-Shehri ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 91 KB ๐Ÿ‘ 2 views

A single-equation model is developed and employed for forecasting industrial electric energy consumption in the Saudi Consolidated Electric Company in the Eastern Province (SCECO-East) of Saudi Arabia. SCECO-East's industrial loads are composed mainly of oil-related and petrochemical industries. Eve