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Degradation pattern prediction of a polymer electrolyte membrane fuel cell stack with series reliability structure via durability data of single cells Bae SJ, Kim SJ, Lee JH, Song I, Kim NI, Seo Y, Kim KB, Lee N, Park JY Applied Energy, 131, 48, 2014 |
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Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data Munkhammar J, Ryden J, Widen J Applied Energy, 135, 382, 2014 |
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Managing the cultivation and processing of microalgae to prolong storage in water-in-oil emulsions Fernandez L, Cheng YS, Scher H, VanderGheynst JS Applied Microbiology and Biotechnology, 98(12), 5427, 2014 |
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Evaluation of wind power production prospective and Weibull parameter estimation methods for Babaurband, Sindh Pakistan Khahro SF, Tabbassum K, Soomro AM, Dong L, Liao XZ Energy Conversion and Management, 78, 956, 2014 |
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An appraisal of wind speed distribution prediction by soft computing methodologies: A comparative study Petkovic D, Shamshirband S, Anuar NB, Saboohi H, Wahab AWA, Protic M, Zalnezhad E, Mirhashemi SMA Energy Conversion and Management, 84, 133, 2014 |
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An efficiency comparison of numerical methods for determining Weibull parameters for wind energy applications: A new approach applied to the northeast region of Brazil de Andrade CF, Neto HFM, Rocha PAC, da Silva MEV Energy Conversion and Management, 86, 801, 2014 |
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Measurement of microbial adhesive forces with a parallel plate flow chamber Yoshihara A, Narahara H, Kuriyama Y, Toyoda S, Tokumoto H, Konishi Y, Nomura T Journal of Colloid and Interface Science, 432, 77, 2014 |
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Briquetting of UBC by a double roll press Part II: Improvement of the Johanson model Shigehisa T, Nakagawa T, Yamamoto S Powder Technology, 264, 614, 2014 |
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Extrapolating wind speed time series vs. Weibull distribution to assess wind resource to the turbine hub height: A case study on coastal location in Southern Italy Gualtieri G, Secci S Renewable Energy, 62, 164, 2014 |
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Comparison between the bivariate Weibull probability approach and linear regression for assessment of the long-term wind energy resource using MCP Weekes SM, Tomlin AS Renewable Energy, 68, 529, 2014 |