Dynamic Modelling of Wind Farms: a Comparative Study Between Two Modelling Approaches

2003 ◽  
Vol 1 (01) ◽  
pp. 441-445
Author(s):  
I. Zubia ◽  
◽  
S.K. Salman ◽  
X. Ostolaza ◽  
G. Tapia ◽  
...  
Keyword(s):  
Comparative Study ◽  
Dynamic Modelling ◽  
Wind Farms ◽  
Modelling Approaches

Dynamic Modelling of Wind Farms: A Comparative Study Between Two Modelling Approaches

2006 ◽  
pp. 529-539
Author(s):  
I. Zubia ◽  
S. K. Salman ◽  
X. Ostolaza ◽  
G. Tapia ◽  
A. Tapia
Keyword(s):  
Comparative Study ◽  
Dynamic Modelling ◽  
Wind Farms ◽  
Modelling Approaches

Drought forecasting: A review of modelling approaches 2007–2017

2019 ◽  
Vol 11 (3) ◽  
pp. 771-799 ◽  
Author(s):  
K. F. Fung ◽  
Y. F. Huang ◽  
C. H. Koo ◽  
Y. W. Soh
Keyword(s):  
Evaluation Criteria ◽  
Dynamic Modelling ◽  
Negative Consequences ◽  
Drought Forecasting ◽  
Modelling Techniques ◽  
Input Variables ◽  
And Performance ◽  
Resources Planning ◽  
Selection Of ◽  
Modelling Approaches

Abstract Droughts are prolonged precipitation-deficient periods, resulting in inadequate water availability and adverse repercussions to crops, animals and humans. Drought forecasting is vital to water resources planning and management in minimizing the negative consequences. Many models have been developed for this purpose and, indeed, it would be a long process for researchers to select the best suited model for their research. A timely, thorough and informative overview of the models' concepts and historical applications would be helpful in preventing researchers from overlooking the potential selection of models and saving them considerable amounts of time on the problem. Thus, this paper aims to review drought forecasting approaches including their input requirements and performance measures, for 2007–2017. The models are categorized according to their respective mechanism: regression analysis, stochastic, probabilistic, artificial intelligence based, hybrids and dynamic modelling. Details of the selected papers, including modelling approaches, authors, year of publication, methods, input variables, evaluation criteria, time scale and type of drought are tabulated for ease of reference. The basic concepts of each approach with key parameters are explained, along with the historical applications, benefits and limitations of the models. Finally, future outlooks and potential modelling techniques are furnished for continuing drought research.

scholarly journals The DYNAMO Project: An Introduction

1998 ◽  
Vol 2 (4) ◽  
pp. 375-383 ◽  
Author(s):  
R. C. Ferrier
Keyword(s):  
Land Use ◽  
Environmental Quality ◽  
Anthropogenic Impacts ◽  
Scale Up ◽  
Dynamic Modelling ◽  
Terrestrial Ecosystems ◽  
Regional Modelling ◽  
Forestry Practices ◽  
Individual Site ◽  
Modelling Approaches

Abstract. European concerns about the consequences of anthropogenic impacts on environmental quality have led to the establishment of various dynamic modelling approaches through which the consequences of impacts over time can be assessed. Similarly, throughout Europe, there has been extensive collection of regional data on "environmental capital" resulting in the production of wide area mapping of environmental quality (soils, land use etc). The aim of the DYNAMO was to integrate data and models, specifically; (1) to enhance the existing process based models to evaluate the impacts of multiple drivers of environmental change; (2) to evaluate these models at intensively studied (and manipulated) catchments and stands; (3) to scale up in time from observations collected over several years to predict the long term impacts over decades, and (4) to scale up in space from the individual site level to regional, National and European scale. The project aims to develop and enhance regional modelling approaches so that European scale impacts of acidic deposition, land use (forestry practices) and global change can be determined without compromising process level understanding of ecosystem function. The DYNAMO project contributes to the EU TERI (Terrestrial Ecosystems Research Initiative) framework of the Environment and Climate Programme of the European Commission.

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