Journal ArticleDOI
A review of energy models
S. Jebaraj,S. Iniyan +1 more
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.read more
Citations
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Journal ArticleDOI
Energy Consumption Forecasting of Iran Using Recurrent Neural Networks
Akram Avami,M. Boroushaki +1 more
TL;DR: A recurrent neural network model is developed in order to forecast the energy consumption as a complex nonlinear function of gross domestic product and population in Iran and it can describe time dependencies efficiently and the convergence rate is much faster.
Journal ArticleDOI
Time Delay Approach to Renewable Energy in the Visegrad Group
TL;DR: In this article, a study was conducted to determine time delay in the development of renewable energy sources between the Visegrad Group (V4) countries and Germany, considered the most advanced country in developing renewable energy and having the greatest impact on shaping European Union climate and energy policy.
Journal ArticleDOI
An overview of the Portuguese wind power sector
TL;DR: The improvement of interconnection capacity and the increase of power reserve are identified as key requirements for ensuring the security of supply and a clear understanding of all these aspects is fundamental for integrated, multidimensional wind power planning.
Journal ArticleDOI
Supply and demand of biofuels in the fuel market of Thailand: Two stage least square and three least square approaches
TL;DR: In this article, the authors investigated the long-term factors that affect the supply and demand for bio-fuels (bioethanol and biodiesel) in Thailand by developing a theoretical model based on simultaneous equations.
Journal ArticleDOI
An outlook of end-use energy demand based on a clean energy and technology transformation of the household sector in Nepal
TL;DR: In this paper, the authors analyzed household energy use patterns in Nepal through the year 2051 based on a bottom-up simulation accounting framework for seven provinces and the capital city, differentiated by rural and urban areas and seven end-uses.
References
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Journal ArticleDOI
Applications of artificial neural-networks for energy systems
TL;DR: In this paper, the authors present various applications of neural networks in energy problems in a thematic rather than a chronological or any other way, including modeling and design of a solar steam generating plant, estimation of a parabolic-trough collector's intercept factor and local concentration ratio, and performance prediction of solar water-heating systems.
Journal ArticleDOI
Artificial neural networks for the prediction of the energy consumption of a passive solar building
TL;DR: In this paper, a multilayer recurrent architecture using the standard back-propagation learning algorithm has been applied to predict the energy consumption of a passive solar building for two seasons: winter and summer.
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Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology
TL;DR: The authors show an application of the multicriteria decision-making methodology used to assess an action plan for the diffusion of renewable energy technologies at regional scale, carried out for Sardinia.
Journal ArticleDOI
Solar radiation model
Ling Tim Wong,Wan Ki Chow +1 more
TL;DR: In this article, the authors used the Angstrom-Prescott equation to predict the average daily global radiation with hours of sunshine for Hong Kong (22.3°N latitude, 114. 3°E longitude).
Journal ArticleDOI
A comparison of various forecasting techniques applied to mean hourly wind speed time series
TL;DR: A comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data, including the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks is presented.