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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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Decentralized energy planning; modeling and application—a review

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GreenSlot: scheduling energy consumption in green datacenters

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Environmental efficiency evaluation based on data envelopment analysis: A review

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Review of performance optimization techniques applied to wind turbines

TL;DR: A review of the optimization techniques and strategies applied to wind turbine performance optimization is presented in this paper by identifying the most significant objectives, targets and issues, as well as the optimization formulations, schemes and models available in the published literature.
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A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

TL;DR: In this article, a wavelet-coupled support vector machine (W-SVM) model was adopted to forecast global incident solar radiation based on the sunshine hours (St), minimum temperature (Tmax), maximum temperature, Tmax, Tmin, E, P, and precipitation (P) as the predictor variables.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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