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An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation

Al-Alawi, S.M.; Al-Hinai, H.A. - In: Renewable Energy 14 (1998) 1, pp. 199-204

In this work, a novel approach using an artificial neural network was used to develop a model for analyzing the relationship between the Global Radiation (GR) and climatological variables, and to predict GR for locations not covered by the model's training data. The predicted global radiation...

Persistent link: https://www.econbiz.de/10010805752

Dynamic life cycle assessment (LCA) of renewable energy technologies

Pehnt, Martin - In: Renewable Energy 31 (2006) 1, pp. 55-71

Before new technologies enter the market, their environmental superiority over competing options must be asserted based on a life cycle approach. However, when applying the prevailing status-quo Life Cycle Assessment (LCA) approach to future renewable energy systems, one does not distinguish...

Persistent link: https://www.econbiz.de/10010806319

A novel approach for the forecasting of mean hourly wind speed time series

Sfetsos, A. - In: Renewable Energy 27 (2002) 2, pp. 163-174

This paper presents a novel method for the forecasting of mean hourly wind speed data using time series analysis. The … initial point for this approach is mainly the fact that none of the forecasting approaches for hourly data, that can be found … finally proposed methodology is based on the multi-step forecasting of 10 minutes averaged data and the subsequent averaging …

Persistent link: https://www.econbiz.de/10010806846

On improvement rates for renewable energy technologies: Solar PV, wind turbines, capacitors, and batteries

Benson, Christopher L.; Magee, Christopher L. - In: Renewable Energy 68 (2014) C, pp. 745-751

An important issue in various domains of renewable energy is the use of technological improvement trends to project future capabilities of energy technologies. This paper analyzes two pairs of renewable energy technologies and finds that the annual improvement rate of cost/investment is quite...

Persistent link: https://www.econbiz.de/10010806916

Artificial neural network based models for forecasting electricity generation of grid connected solar PV power plant

Ashraf, Imtiaz; Chandra, A. - In: International Journal of Global Energy Issues 21 (2004) 1/2, pp. 119-130

This paper presents an artificial neural network (ANN) approach for forecasting the performance of electric energy … clearness index. A forecasting performance measure such as percentage root mean square error has been presented for each model …. The second model, which gives the most accurate results, has been used in forecasting the generation output for another PV …

Persistent link: https://www.econbiz.de/10010669897

Energy efficiency potential assessments for economic sectors in India

Mallah, Subhash; Bansal, N.K. - In: International Journal of Global Energy Issues 32 (2009) 1/2, pp. 19-33

The present gap between demand and supply of electricity in India may grow up to 70% in the year 2045, if corrective measures are not taken immediately. The projected situation for the growing Indian economy needs to be tackled by measures to reduce demand as well as to explore additional energy...

Persistent link: https://www.econbiz.de/10010669913

An improved historical simulation approach for estimating 'value at risk' of crude oil price

Fan, Ying; Jiao, Jian-Ling - In: International Journal of Global Energy Issues 25 (2006) 1/2, pp. 83-93

, HSAF. By comparing it with the HSAF approach, we give evidence to show that EDFAAF has a more effective forecasting power …

Persistent link: https://www.econbiz.de/10010670008

Energy scenarios: a review of methods, uses and suggestions for improvement

Nielsen, Stefan Kruger; Karlsson, Kenneth - In: International Journal of Global Energy Issues 27 (2007) 3, pp. 302-322

Scenarios are used in research, foresight, planning, policy-making and business strategy within the energy domain. There is no common theoretical and methodological framework for making scenario analysis. Rather, definitions and methodologies are most often tailored for specific uses. Scenarios...

Persistent link: https://www.econbiz.de/10008539129

A comparison of various forecasting techniques applied to mean hourly wind speed time series

Sfetsos, A. - In: Renewable Energy 21 (2000) 1, pp. 23-35

This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind …

Persistent link: https://www.econbiz.de/10010803768

Time-adaptive quantile-copula for wind power probabilistic forecasting

Bessa, Ricardo J.; Miranda, V.; Botterud, A.; Zhou, Z.; … - In: Renewable Energy 40 (2012) 1, pp. 29-39

This paper presents a novel time-adaptive quantile-copula estimator for kernel density forecast and a discussion of how to select the adequate kernels for modeling the different variables of the problem. Results are presented for different case-studies and compared with splines quantile...

Persistent link: https://www.econbiz.de/10010804549