Forecasting of wind energy technology domains based on the technology life cycle approach

Madvar, Mohammad Dehghani; Ahmadi, Farzin; Shirmohammadi, Reza; Aslani, Alireza

doi:10.1016/j.egyr.2019.08.069

Cited by 31 publications

(7 citation statements)

References 46 publications

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“…Our results show the evolution of m-payment technology with respect to main path analysis. Technology evolution has been studied previously with respect to various parameters such as technology life cycle (Chang and Fan, 2016;Li, 2015;Madvar et al, 2019), roles and paths of various design attributes of Figure 8 The E-wallet payment system (discount system and its payment reader technology)…”

Section: Discussionmentioning

confidence: 99%

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Kumar

Lai

Chang

et al. 2020

JKM

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Purpose The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology. Design/methodology/approach This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory. Findings Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services. Originality/value The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

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Section: Discussionmentioning

confidence: 99%

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Kumar

Lai

Chang

et al. 2020

JKM

View full text Add to dashboard Cite

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“…In order to assess a cumulative nature of technological production, a simple logistic function model is used. The below equation shows a common form of logistic function, which is known as S‐curve:

\frac{d P}{d t} = k P (1 - \frac{P}{K}) .

…”

Section: Methodsmentioning

confidence: 99%

Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Ghazvini

Madvar

Ahmadi

et al. 2020

Energy Science & Engineering

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Recently, energy‐related CO2 emissions are considered as one of the most crucial issues and are promptly augmented due to further urbanization. In this paper, in order to model and calculate yearly CO2 emission, an artificial neural network is used. For the first time, the IWO‐SVM method has been applied in modeling energy‐related CO2 emissions. In this regard, consumption of different energy sources such as renewable energy, natural gas, coal, and oil, and GDP of the G8 countries in various years (from 1990 to 2016) are regarded as input in the present study. For the aim of evaluating the exact ability of the SVM and SVM‐IWO models, the performance of these models in three different modes is carried out on the basis of the number of data in the test and train sections. For this purpose, implementations are split into three categories (a = 80% of the data for the train section and 20% for the test section; b = 70% of the data for the train section and 30% for the test section; and c = 60% of the data for the train section and 40% for the test section). Furthermore, five scenarios were selected on the basis of the number of input parameters and input parameters for achieving the best model. As indicated in the results in all scenarios, the correlation of the model with the hybrid invasive weed algorithm based on SVM is more favorable than that in the support vector machine model, due to better training of the SVM‐IWO model than the SVM model. Moreover, the technological orientations of the G8 countries to mitigate CO2 emissions are determined through patent analysis. While the patents have essential information, investigating the published patent by a country could be helpful for determination of technological orientations. Hence, all published patents by these countries are extracted and deeply analyzed. In the next step, to find out main technological approaches, all patents and their intents have been studied. Eventually, the technological life cycles and trends of each main technology are drawn.

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“…This lead to fierce competition in the wind power product market. Its mature technology includes nacelle (Madvar et al, 2019), the analysis of gust characteristics (Fan et al, 2020), the novel hybrid wind-solar-compressed air energy storage system which can solve the intermittent problems of wind and solar energy (Ji et al, 2017), the technology development of scavenging wind energy by using the electromagnetic effect (Chen et al, 2018), and the manufacturing of various parts of wind power generators, to name a few. The top three countries in the world for offshore wind power installations are Britain, Germany and China.…”

Section: Offshore Wind Energymentioning

confidence: 99%

Planning the R&D of Marine Renewable Energy Resources: Avoiding Bottlenecks and Ensuring Sustainable Development in Developing Marine Economies

Failler

et al. 2021

Front. Environ. Sci.

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Planning for the research and development (R&D) of renewable energy resources (RERs) has not received enough attention. This paper aims to study the planning for the R&D of RERs in order to avoid bottlenecks and ensure sustainable development in developing marine economies. We have established a triple difference model (DDD) model and a wise pig game model between the theoretical government and enterprise. The data on RERs come from the World Bank and International Energy Agency databases. We have three contributions on the basis of distinguishing between mature and immature marine RERs technologies. First, it emphasizes the importance of developing R&D planning for marine RERs immature technology in the future. Second, the DDD model is used to empirically establish whether RERs planning has a significant positive impact on RERs’ output, which explains the importance of existing RERs planning. Third, the wise pig game model is used to analyze the welfare benefits to the government brought by the R&D planning of marine RERs which proves the importance of future RERs R&D planning.

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Forecasting of wind energy technology domains based on the technology life cycle approach

Cited by 31 publications

References 46 publications

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Planning the R&D of Marine Renewable Energy Resources: Avoiding Bottlenecks and Ensuring Sustainable Development in Developing Marine Economies

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Forecasting of wind energy technology domains based on the technology life cycle approach

Cited by 31 publications

References 46 publications

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

Technological assessment and modeling of energy‐related CO2 emissions for the G8 countries by using hybrid IWO algorithm based on SVM

Planning the R&D of Marine Renewable Energy Resources: Avoiding Bottlenecks and Ensuring Sustainable Development in Developing Marine Economies

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Technological assessment and modeling of energy‐related CO₂ emissions for the G8 countries by using hybrid IWO algorithm based on SVM