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Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks. (2018). Mason, Karl ; Duggan, Jim ; Howley, Enda.
In: Energy.
RePEc:eee:energy:v:155:y:2018:i:c:p:705-720.

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Characterizing coastal wind energy resources based on sodar and microwave radiometer observations. (2022). Li, Q S ; Chan, P W ; He, J Y ; Lee, C W.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:163:y:2022:i:c:s1364032122004026.

    Full description at Econpapers || Download paper

  2. Assessment and validation of wind power potential at convection-permitting resolution for the Caribbean region of Colombia. (2022). Gil, Samuel Andres ; Caon, Julio Eduardo ; Martinez, Alejandro J.
    In: Energy.
    RePEc:eee:energy:v:244:y:2022:i:pb:s0360544222000305.

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  3. Mesoscale simulations of a real onshore wind power base in complex terrain: Wind farm wake behavior and power production. (2022). Zhu, Zhaofan ; Wang, Qiang ; Luo, Kun ; Fan, Jianren ; Wu, Chunlei.
    In: Energy.
    RePEc:eee:energy:v:241:y:2022:i:c:s0360544221031224.

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  4. Numerical weather prediction enhanced wind power forecasting: Rank ensemble and probabilistic fluctuation awareness. (2022). Zhen, Zhao ; Zhang, Xuemin ; Mei, Shengwei ; Jia, Mengshuo ; Tang, Haiyan ; Liu, Chenyu.
    In: Applied Energy.
    RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002173.

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  5. Offshore Wind Energy Resource Assessment across the Territory of Oman: A Spatial-Temporal Data Analysis. (2021). Charabi, Yassine ; Aghay, Seyed H ; Al-Hinai, Amer.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:5:p:2862-:d:511939.

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  6. Wind and Solar Intermittency and the Associated Integration Challenges: A Comprehensive Review Including the Status in the Belgian Power System. (2021). Asiaban, Siavash ; Kayedpour, Nezmin ; Vandevelde, Lieven ; Crevecoeur, Guillaume ; Bozalakov, Dimitar ; Samani, Arash E.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:9:p:2630-:d:548593.

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  7. Comprehensive Review on Electricity Market Price and Load Forecasting Based on Wind Energy. (2021). Acarolu, Hakan ; Garcia, Fausto Pedro.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:22:p:7473-:d:675237.

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  8. Solar Radiation Prediction Using a Novel Hybrid Model of ARMA and NARX. (2021). Boussaada, Zina ; Bellaaj, Najiba Mrabet ; Sansa, Ines.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:21:p:6920-:d:661561.

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  9. A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy. (2021). Li, Wenzhe ; Yang, Qibo ; Feng, Jianshe ; Lee, Jay ; Cai, Haoshu ; Jia, Xiaodong.
    In: Renewable Energy.
    RePEc:eee:renene:v:178:y:2021:i:c:p:709-719.

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  10. Effects of wind power spectrum analysis over resource assessment. (2021). Rodriguez-Hernandez, O ; Martinez-Alvarado, O ; Hernandez-Yepes, J G ; Lopez-Villalobos, C A.
    In: Renewable Energy.
    RePEc:eee:renene:v:167:y:2021:i:c:p:761-773.

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  11. Offshore wind can power Canada. (2021). Huang, Guohe ; Cheng, Guanhui ; Dong, Cong.
    In: Energy.
    RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016704.

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  12. High-resolution mesoscale wind-resource assessment of Fiji using the Weather Research and Forecasting (WRF) model. (2021). Sharma, Rajnish N ; Kingan, Michael J ; Dayal, Kunal K ; Cater, John E ; Bellon, Gilles.
    In: Energy.
    RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012950.

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  13. EALSTM-QR: Interval wind-power prediction model based on numerical weather prediction and deep learning. (2021). Duan, Shanxu ; Xu, Qiyou ; Lang, Jianxun ; Wang, Hongyu ; Liu, Fangjie ; Zhang, Zuowei ; Peng, Xiaosheng ; Cai, Tao.
    In: Energy.
    RePEc:eee:energy:v:220:y:2021:i:c:s0360544220327997.

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  14. A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions. (2021). Guo, Zhenhai ; Zhu, Wenjin ; Lin, Wantao ; Zhao, Jing.
    In: Energy.
    RePEc:eee:energy:v:218:y:2021:i:c:s0360544220326165.

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  15. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction. (2021). Hu, Shuai ; Xie, Shanyi ; Liu, Junyong ; Zhang, Hongcai ; Gu, Chenghong ; Xiang, Yue ; Sun, Wei.
    In: Applied Energy.
    RePEc:eee:appene:v:293:y:2021:i:c:s0306261921004281.

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  16. High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm. (2021). Kistner, Matt ; Shen, Lian ; Marr, Jeff ; Sotiropoulos, Fotis ; Milliren, Christopher ; Hogg, Christopher ; Yang, Xiaolei.
    In: Applied Energy.
    RePEc:eee:appene:v:281:y:2021:i:c:s0306261920315324.

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  17. Exploring the suitability of MERRA-2 reanalysis data for wind energy estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan. (2020). Rabbani, R ; Zeeshan, M.
    In: Renewable Energy.
    RePEc:eee:renene:v:154:y:2020:i:c:p:1240-1251.

    Full description at Econpapers || Download paper

  18. Spatiotemporal analysis of offshore wind field characteristics and energy potential in Hong Kong. (2020). Li, Qiusheng ; Chan, P W ; He, Junyi ; Lee, C W.
    In: Energy.
    RePEc:eee:energy:v:201:y:2020:i:c:s0360544220307295.

    Full description at Econpapers || Download paper

  19. Partial repowering analysis of a wind farm by turbine hub height variation to mitigate neighboring wind farm wake interference using mesoscale simulations. (2020). Calhoun, Ronald ; Asim, Raja M ; Javed, Adeel ; Syed, Abdul Haseeb.
    In: Applied Energy.
    RePEc:eee:appene:v:268:y:2020:i:c:s0306261920305626.

    Full description at Econpapers || Download paper

  20. Using Artificial Intelligence to Predict Wind Speed for Energy Application in Saudi Arabia. (2019). Brahimi, Tayeb.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:24:p:4669-:d:295664.

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  21. Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case. (2019). Farrokhabadi, Mostafa.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:12:p:2228-:d:238996.

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  22. Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting. (2019). Dong, Yunxuan ; Zhang, Wenyu ; Leng, Wennan ; Wang, Jianzhou ; Lu, Haiyan ; Qu, Zongxi.
    In: Renewable Energy.
    RePEc:eee:renene:v:130:y:2019:i:c:p:814-830.

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  23. Micro-scale wind resource assessment in complex terrain based on CFD coupled measurement from multiple masts. (2019). Tang, Xiao-Yu ; Zhao, Shumian ; Peinke, Joachim ; Fan, BO ; Stoevesandt, Bernhard.
    In: Applied Energy.
    RePEc:eee:appene:v:238:y:2019:i:c:p:806-815.

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  24. Short-Term Wind Power Forecasting Based on Clustering Pre-Calculated CFD Method. (2018). Liu, Yongqian ; Wang, Yimei ; Han, Shuang ; Infield, David.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:4:p:854-:d:139708.

    Full description at Econpapers || Download paper

  25. Forecasting energy demand, wind generation and carbon dioxide emissions in Ireland using evolutionary neural networks. (2018). Mason, Karl ; Duggan, Jim ; Howley, Enda.
    In: Energy.
    RePEc:eee:energy:v:155:y:2018:i:c:p:705-720.

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  26. Techno economic analysis of a wind-photovoltaic-biomass hybrid renewable energy system for rural electrification: A case study of Kallar Kahar. (2018). Ali, Syed Farooq ; Imran, Muhammad ; Adnan, Muhammad ; Khokhar, Khawar Siddique ; Ahmad, Jameel ; Khalid, Abdullah ; Iqbal, Waseem ; Ashraf, Syed Rehan.
    In: Energy.
    RePEc:eee:energy:v:148:y:2018:i:c:p:208-234.

    Full description at Econpapers || Download paper

  27. An Innovative Hybrid Model Based on Data Pre-Processing and Modified Optimization Algorithm and Its Application in Wind Speed Forecasting. (2017). Wang, Zeng ; Yang, Wendong ; Jiang, Ping ; Zhang, Kequan.
    In: Energies.
    RePEc:gam:jeners:v:10:y:2017:i:7:p:954-:d:104152.

    Full description at Econpapers || Download paper

  28. Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data. (2017). Jimenez-Fernandez, Silvia ; Salcedo-Sanz, Sancho ; Prieto, Luis ; Cuadra, Lucas ; Cornejo-Bueno, Laura ; Acevedo-Rodriguez, Javier.
    In: Energies.
    RePEc:gam:jeners:v:10:y:2017:i:11:p:1784-:d:117810.

    Full description at Econpapers || Download paper

  29. An overview of medium- to long-term predictions of global wave energy resources. (2017). Wang, Qing ; Li, Chong Yin ; Zheng, Chongwei.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:79:y:2017:i:c:p:1492-1502.

    Full description at Econpapers || Download paper

  30. A comprehensive review of wind resource assessment. (2017). Rahi, O P.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:72:y:2017:i:c:p:1320-1342.

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  31. Future projections of wind resource in a mountainous archipelago, Canary Islands. (2017). Diaz, Juan P ; Perez, Juan C ; Exposito, Francisco J ; Gonzalez, Albano.
    In: Renewable Energy.
    RePEc:eee:renene:v:104:y:2017:i:c:p:120-128.

    Full description at Econpapers || Download paper

  32. Performance evaluation of the Weather Research and Forecasting (WRF) model for assessing wind resource in Greece. (2017). Giannaros, Theodore M ; Ziomas, Ioannis ; Melas, Dimitrios.
    In: Renewable Energy.
    RePEc:eee:renene:v:102:y:2017:i:pa:p:190-198.

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  33. Spatial and temporal variability of wind energy resource and production over the North Western Mediterranean Sea: Sensitivity to air-sea interactions. (2017). Arsouze, Thomas ; Mailler, Sylvain ; Bastin, Sophie ; Drobinski, Philippe ; Omrani, Hiba ; Lebeaupin-Brossier, Cindy .
    In: Renewable Energy.
    RePEc:eee:renene:v:101:y:2017:i:c:p:680-689.

    Full description at Econpapers || Download paper

  34. A data-driven multi-model methodology with deep feature selection for short-term wind forecasting. (2017). Cui, Mingjian ; Zhang, Jie ; Feng, Cong ; Hodge, Bri-Mathias.
    In: Applied Energy.
    RePEc:eee:appene:v:190:y:2017:i:c:p:1245-1257.

    Full description at Econpapers || Download paper

  35. A Long-Term Wind Speed Ensemble Forecasting System with Weather Adapted Correction. (2016). Chu, Yiqi ; Wang, Yefang ; Li, Jing.
    In: Energies.
    RePEc:gam:jeners:v:9:y:2016:i:11:p:894-:d:81798.

    Full description at Econpapers || Download paper

  36. Statistical learning approach for wind resource assessment. (2016). Grassi, S ; Raubal, M ; Veronesi, F.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:56:y:2016:i:c:p:836-850.

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  37. The need for holistic enterprise control assessment methods for the future electricity grid. (2016). Youcef-Toumi, Kamal ; Jiang, BO ; Muzhikyan, Aramazd ; Farid, Amro M.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:56:y:2016:i:c:p:669-685.

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  38. An overview of global ocean wind energy resource evaluations. (2016). Liu, Mingyang ; Xia, Linlin ; Pan, Jing ; Zheng, Chongwei.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:53:y:2016:i:c:p:1240-1251.

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  39. Modern small wind turbine design solutions comparison in terms of estimated cost to energy output ratio. (2015). Krzeszowiec, Marcin ; Kroszczynski, Krzysztof ; Damaziak, Krzysztof ; Malachowski, Jerzy ; Bukala, Jakub ; Karimi, Hamid Reza.
    In: Renewable Energy.
    RePEc:eee:renene:v:83:y:2015:i:c:p:1166-1173.

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  40. Development of Aeolian map of China using mesoscale atmospheric modelling. (2015). Gao, Zhiqiu ; Yang, Peijin ; Huang, Meng ; Rados, Kostas ; Caralis, George ; Zervos, Arthouros .
    In: Renewable Energy.
    RePEc:eee:renene:v:74:y:2015:i:c:p:60-69.

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  41. Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods. (2015). Hopson, Thomas ; delle Monache, Luca ; Zhang, Jie ; Vanvyve, Emilie ; Draxl, Caroline ; Hodge, Bri-Mathias.
    In: Applied Energy.
    RePEc:eee:appene:v:156:y:2015:i:c:p:528-541.

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  42. Quantizing the deterministic nonlinearity in wind speed time series. (2014). Haidar, Daryanti ; Samet, Haidar ; Marzbani, Fatemeh.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:39:y:2014:i:c:p:1143-1154.

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  43. Feasibility assessment of wind energy resources in Malaysia based on NWP models. (2014). Shaaban, Mohamed ; Nor, Khalid Mohamed ; Rahman, Hasimah Abdul.
    In: Renewable Energy.
    RePEc:eee:renene:v:62:y:2014:i:c:p:147-154.

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  44. WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal. (2014). Santos, Silva C. ; Gomez-Gesteira, M. ; Carvalho, D. ; Rocha, A..
    In: Applied Energy.
    RePEc:eee:appene:v:117:y:2014:i:c:p:116-126.

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  45. Comprehensive review of cooling and heating degree days characteristics over Kingdom of Saudi Arabia. (2013). Al-Hadhrami, L. M..
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:27:y:2013:i:c:p:305-314.

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  46. Integration of temperature and dust effects in siting large PV power plant in hot arid area. (2013). Charabi, Yassine ; Gastli, Adel.
    In: Renewable Energy.
    RePEc:eee:renene:v:57:y:2013:i:c:p:635-644.

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  47. Mesoscale wind speed simulation using CALMET model and reanalysis information: An application to wind potential. (2012). Morales, Luis ; Lang, Francisco ; Mattar, Cristian.
    In: Renewable Energy.
    RePEc:eee:renene:v:48:y:2012:i:c:p:57-71.

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  48. Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China. (2012). Dai, Yiping ; Sheng, Yingxin ; Zhao, Pan ; Xia, Junrong ; Yue, Jie ; Wang, Jiangfeng.
    In: Renewable Energy.
    RePEc:eee:renene:v:43:y:2012:i:c:p:234-241.

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  49. Nested ensemble NWP approach for wind energy assessment. (2012). Charabi, Yassine ; Al-Yahyai, Sultan ; Gastli, Adel ; Al-Badi, Abdullah.
    In: Renewable Energy.
    RePEc:eee:renene:v:37:y:2012:i:1:p:150-160.

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  50. Sustainable energy usage in Oman—Opportunities and barriers. (2011). Malik, A. ; Al-Badi, A. H. ; Gastli, A..
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:15:y:2011:i:8:p:3780-3788.

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