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Scenario-based ultra-short-term rolling optimal operation of a photovoltaic-energy storage system under forecast uncertainty. (2024). Pang, Xiulan ; Xu, Ximeng ; Li, Xiaofeng ; Zhang, Pengfei ; Liu, LU ; Ma, Chao.
In: Applied Energy.
RePEc:eee:appene:v:356:y:2024:i:c:s0306261923017890.

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Cited: 8

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  2. A real-time scheduling framework of cascade hydropower-photovoltaic power complementary systems based on model predictive control. (2025). Zhang, Taiheng ; Sui, Quan ; Li, LI ; Yang, Yunbo.
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  3. Flexible design and operation of off-grid green ammonia systems with gravity energy storage under long-term renewable power uncertainty. (2025). Zhou, Jiahui ; Zhang, Wentao ; Xu, Gang ; Wang, Haiming ; Tong, Bing.
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  4. Predict-then-optimise based day-ahead scheduling towards demand response and hybrid renewable generation for wastewater treatment. (2025). Stergaard, Poul Alberg ; Xu, Jiuping ; Zhang, Xiaoxuan ; Tu, Jiancheng ; Zhao, Chuandang.
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  6. End-to-end learning for stochastic preventive dispatch of renewables-rich power systems in abnormal weather conditions. (2024). Shahidehpour, Mohammad ; Ju, Ping ; Han, Xutao ; Li, Zhiyi ; Yu, Qun.
    In: Renewable Energy.
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  7. Co-optimization for day-ahead scheduling and flexibility response mode of a hydro–wind–solar hybrid system considering forecast uncertainty of variable renewable energy. (2024). Su, Huaying ; Cheng, Chuntian ; Zhou, Jinglin ; Zhao, Zhipeng ; Wang, Jin.
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  8. Space optimization of utility-scale photovoltaic power plants considering the impact of inter-row shading. (2024). Deng, Zexing ; Pang, Xiulan ; Xu, Ximeng ; Li, Xiaofeng ; Wu, Runze ; Ma, Chao ; Tian, Zhuojun.
    In: Applied Energy.
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  30. Performance evaluation of ANFIS and RSM modeling in predicting biogas and methane yields from Arachis hypogea shells pretreated with size reduction. (2022). Ogunkunle, Oyetola ; Adeleke, Oluwatobi ; Ahmed, Noor A ; Olatunji, Kehinde O ; Madyira, Daniel M ; Adebayo, Ademola O.
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  31. Examining wind energy deployment pathways in complex macro-economic and political settings using a fuzzy cognitive map-based method. (2022). Zare, Sara Ghaboulian ; Stewart, Rodney A ; Alipour, Mohammad ; Hafezi, Mehdi ; Rahman, Anisur.
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  32. Optimization-driven uncertainty forecasting: Application to day-ahead commitment with renewable energy resources. (2022). Kwon, Soongeol ; Karimi, Sajad.
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  33. Sizing ramping reserve using probabilistic solar forecasts: A data-driven method. (2022). Zhang, Jie ; Spyrou, Evangelia ; Feng, Cong ; Siebenschuh, Carlo ; Li, Binghui ; Hobbs, Benjamin F ; Krishnan, Venkat.
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  34. Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix. (2021). Alhumaid, Yousef ; Khalid, Muhammad ; Khan, Khalid ; Alismail, Fahad.
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  35. Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques. (2021). Poncela, Pilar ; Poncela-Blanco, Marta.
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  36. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
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  37. A Comparative Study of Machine Learning-Based Methods for Global Horizontal Irradiance Forecasting. (2021). Thil, Stephane ; Grieu, Stephane ; Gbemou, Shab ; Eynard, Julien ; Guillot, Emmanuel.
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  38. Applications for solar irradiance nowcasting in the control of microgrids: A review. (2021). Blum, Niklas ; Moghbel, Moayed ; Shoeb, Md Asaduzzaman ; Calais, Martina ; Shafiullah, G M ; Nouri, Bijan ; Samu, Remember.
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  39. Optimal energy bidding for renewable plants: A practical application to an actual wind farm in Spain. (2021). Payan, Manuel Burgos ; Endemao-Ventura, Lazaro ; Roldan, Juan Manuel ; Riquelme, Jesus Manuel ; Gonzalez, Javier Serrano.
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  40. Ultra-short-term combined prediction approach based on kernel function switch mechanism. (2021). Zhao, Yongning ; Qu, Ying ; Zhong, Wuzhi ; Lu, Peng ; Ye, Lin ; Zhai, Bingxu ; Tang, Yong.
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  41. Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network. (2021). Tian, Xuan ; Ma, Wentao ; Fang, Shuai ; Wang, Peng ; Duan, Jiandong ; Liu, Haofan ; Cheng, Yulin ; Chang, Ying.
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  42. A review of wind speed and wind power forecasting with deep neural networks. (2021). Wang, Yun ; Zou, Runmin ; Liu, Qianyi ; Zhang, Lingjun.
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  43. A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application. (2020). Bueso, Maria C ; Paredes-Parra, Jose Miguel ; Mateo-Aroca, Antonio ; Molina-Garcia, Angel.
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  44. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications. (2020). Dong, Z Y ; Begum, R A ; Ker, Pin Jern ; Faisal, M ; Hannan, M A ; Zhang, C.
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  45. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization. (2020). Mishra, Y ; Sreeram, V ; Ahmed, R ; Arif, M D.
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  46. Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting. (2020). Sewdien, V N ; Preece, R ; van der Meijden, M ; Rueda, J L ; Rakhshani, E.
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  47. Impact of 15-day energy forecasts on the hydro-thermal scheduling of a future Nordic power system. (2020). Rasku, Topi ; Kiviluoma, Juha ; Miettinen, Jari ; Rinne, Erkka.
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  48. Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study. (2019). Hong, Sugwon ; Lee, Seung-Jae ; Aslam, Muhammad ; Kim, Hyung-Seung.
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  49. Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data. (2019). Sigauke, Caston ; Mulaudzi, Sophie ; Mpfumali, Phathutshedzo ; Bere, Alphonce.
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  50. Wind power forecast based on improved Long Short Term Memory network. (2019). Gao, Zhiyu ; Zhang, Rongchang ; Jing, Huitian.
    In: Energy.
    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319954.

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