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Journal ArticleDOI

A review of energy models

S. Jebaraj, +1 more
- 01 Aug 2006 - 
- Vol. 10, Iss: 4, pp 281-311
TLDR
In this paper, a review paper on energy modeling will help the energy planners, researchers and policy makers widely, and an attempt has been made to understand and review the various emerging issues related to the energy modeling.
Abstract
Energy is a vital input for social and economic development of any nation. With increasing agricultural and industrial activities in the country, the demand for energy is also increasing. Formulation of an energy model will help in the proper allocation of widely available renewable energy sources such as solar, wind, bioenergy and small hydropower in meeting the future energy demand in India. During the last decade several new concepts of energy planning and management such as decentralized planning, energy conservation through improved technologies, waste recycling, integrated energy planning, introduction of renewable energy sources and energy forecasting have emerged. In this paper an attempt has been made to understand and review the various emerging issues related to the energy modeling. The different types of models such as energy planning models, energy supply–demand models, forecasting models, renewable energy models, emission reduction models, optimization models have been reviewed and presented. Also, models based on neural network and fuzzy theory have been reviewed and discussed. The review paper on energy modeling will help the energy planners, researchers and policy makers widely.

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Citations
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Optimization methods applied to renewable and sustainable energy: A review

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A survey of data envelopment analysis in energy and environmental studies

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Energy systems modeling for twenty-first century energy challenges

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Artificial intelligence techniques for photovoltaic applications: A review

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References
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Journal ArticleDOI

Forecasting electric energy consumption using neural networks

TL;DR: An artificial neural network model is developed to relate the electric energy consumption in the Eastern Province of Saudi Arabia to the weather data, global solar radiation and population, and comparison with a regression model shows that the neural networkmodel performs better for predictions.
Journal ArticleDOI

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TL;DR: In this article, the use of different energy-signature (ES) models for energy consumption predictions and building parameter estimations is reviewed and recommendations for the choice of model are given.
Journal ArticleDOI

Estimation of natural-gas consumption in Poland based on the logistic-curve interpretation

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Journal ArticleDOI

A regression model for electric-energy-consumption forecasting in eastern Saudi Arabia

TL;DR: In this paper, the authors developed an energy consumption model for Eastern Saudi Arabia as a function of weather data, global solar radiation and population, and the problem of colinearity between the regressors is investigated by using standard statistical procedures.
Journal ArticleDOI

Modelling and forecasting monthly electric energy consumption in eastern Saudi Arabia using abductive networks

TL;DR: Abductive network machine learning is proposed as an alternative to the conventional multiple regression analysis method for modelling and forecasting monthly electric energy consumption as mentioned in this paper, which requires fewer input parameters, are more accurate and are easier and faster to develop.
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