A fuzzy cognitive maps decision support system for renewables local planning

Kyriakarakos, George; Patlitzianas, Konstantinos D.; Damasiotis, Markos; Papastefanakis, Dimitrios

doi:10.1016/j.rser.2014.07.009

Cited by 52 publications

(27 citation statements)

References 44 publications

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“…In fact, no single decision-making method, model, or system from the selected papers over the last two years proposed the implementation of an effective and deliverable DSS (no matter what is the type of system access). Moreover, only eight papers implemented a desktop application [18, 20-23, 93, 184, 192], four papers proposed the Web as a medium support for their contributions [28,30,49,180], and no single study investigated the remaining technologies (i.e., cloud and mobile applications).…”

Section: Results and In-depth Analysismentioning

confidence: 99%

“…Strategic C1.1. Energy planning regional [18,22,24,26,61,62], local [19,30,[63][64][65][66][67], urban [68][69][70], rural [71][72][73][74][75][76][77] C1.2. Energy policy planning [37,78,79], evaluation [43,52,80,81], frameworks [82,83] C1.3.…”

Section: An Overview Of Reviews On Epdmmentioning

confidence: 99%

“…Fuzzy set theory was introduced by Zadeh in [36] as an effective instrument to facilitate decision-making situations in vague and ambiguous contexts. DSSs that utilize fuzzy decision models have been proposed to tackle various EPDM situations [30,[37][38][39][40][41], by effectively exploiting subjective judgments under multiple perspectives. In particular, numerous studies combine traditional multiple criteria decision-making (MCDM) methods and fuzzy models resulting in fuzzy-based MCDM (FMCDM) approaches to model both qualitative and quantitative factors and to overcome the limitations that arose when used separately [13-15, 34, 35, 42-47].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

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Achieving sustainable energy planning and development involves complex decision-making processes. The energy planning decision-making (EPDM) field relies on a plethora of decision analysis methods that offered many solutions to process a variety of energy management and strategic decision-making problems. However, current EPDM solutions are unable to overcome the increasing complexity of strategic energy planning situations involving a large number of stakeholders in uncertain, dynamic, and distributed environments. This raises significant new challenges for researchers in both decision sciences and renewable and sustainable energy planning. On the basis of a representative assortment of peer-reviewed related literature selected by querying multiple electronic databases and indexed in Scopus and Web of Science databases domain journals over the last 12 years, this paper exhaustively highlights and discusses limitations of existing strategic EPDM solutions. The analysis is based on a classification specially developed by holistically harmonizing important domain concepts to categorize the considered representative sample of the field of interest. Additionally, this paper integrates results and conclusions from some recent and most cited literature reviews to (i) formulate essential evidence as well as practical and conclusive literature's supportalongside with the formulated representative sample -to this paper's subsequent insights and statements, and (ii) guarantee that no relevant articles have been excluded. A total of 78 related works is gathered and analyzed to provide a general view and discussion on major complexities found in classical/traditional strategic EPDM solutions and challenges for next-generation EPDM solutions. Moreover, a comparative analysis of the two solutions and a set of "quality indexes" of a next-generation EPDM solution were identified and some proposals were made to improve future applicative research. As an original result coming from the "quality indexes" identified through the review process, an intelligent expert-based framework for next-generation EPDM solutions is developed for enhanced renewable and sustainable energy planning.

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Section: Results and In-depth Analysismentioning

confidence: 99%

Section: An Overview Of Reviews On Epdmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Sellak¹,

Ouhbi²,

Frikh

et al. 2017

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…FCM is described by nodes (representing the elements of the analysis) linked by arrows (representing causal relationships). FCM has been used in literature to describe complex scenarios such as the identification of limitations to the development of wind power (Huang, Lo, & Lin, 2013) and information decision support systems for the planning of power plant harvesting renewable energy (Kyriakarakos, Patlitzianas, Damasiotis, & Papastefanakis, 2014).…”

Section: A Holistic Overview: Fuzzy Cognitive Mapmentioning

confidence: 99%

Open innovation in the power & energy sector: Bringing together government policies, companies’ interests, and academic essence

2017

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The Power and Energy (P&E) sector needs to respond to several challenges fostering investments in research and development. According to the Open Innovation (OI) paradigm, key stakeholders like utilities, vendors, laboratories, universities etc. should take advantage of external knowledge to improve their innovation performance. Several studies have demonstrated that firms adopting the OI paradigm are more likely to innovate. Despite the interest of P&E firms in enhancing their innovation capabilities, surprisingly few articles (usually case studies) described the implementation of the OI paradigm in P&E firms. This article fills the gap by identifying the key drivers that encourage a firm in the P&E sector to embrace the OI paradigm. The authors adopt a hybrid research approach collecting evidence from the literature and through a multiple case-study analysis involving seven British firms and universities operating in the P&E industry. As the drivers of OI have mutual influence, this article describes them with a fuzzy cognitive map. Finally, the authors identify appropriated policies to enhance the OI adoption and, consequently, the sustainability of innovation in the P&E sector. A salient research agenda closes the paper.

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“…However, these operations do not change the system's behaviour (Özesmi and Özesmi 2004). This aggregation approach is useful for constructing a collective fuzzy cognitive map and is followed by many researchers (Kosko 1987(Kosko , 1992aÖzesmi and Özesmi 2004;Vanwindekens et al 2013;Kyriakarakos et al 2014;Diniz et al 2015).…”

Section: Aggregation Of Individual Cognitive Mapsmentioning

confidence: 99%

Pathways for drought resilient livelihoods based on people’s perception

Singh

Chudasama

2016

Climatic Change

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Drought is among the most dreaded threats as far as natural disasters are concerned wielding, as it does, a significant impact on ecosystems, people's livelihoods, and the socioeconomic development of a country. A significantly large geographic area of India happens to be drought prone. In order to understand people's response to the impacts of drought and their coping strategies, it is crucial to understand their perceptions. Studies investigating community perceptions relevant to drought impacts and concomitant adaptive behaviours are rare in India. This paper documents communities' perceptions of impacts of drought on their livelihood assets and adaptation practices. It does this with the help of the fuzzy cognitive mapping approach in the Mahabubnagar district of India's Telangana state. In order to develop pathways for drought resilient livelihoods we ran simulations for future drought scenarios with various bundles of adaptation strategies enabling us to evaluate their effectiveness in providing resilience against drought. The study also tested the suitability of various activation rules and transformation functions, used for running simulations. Incorporating stakeholders' perceptions, knowledge and beliefs about impacts of droughts, and engaging them in the process of developing drought resilient livelihoods is expected to fine-tune the drought related policy-making.

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A fuzzy cognitive maps decision support system for renewables local planning

Cited by 52 publications

References 44 publications

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support

Open innovation in the power & energy sector: Bringing together government policies, companies’ interests, and academic essence

Pathways for drought resilient livelihoods based on people’s perception

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