نتائج البحث - "Gholinia, Fatemeh"

المصدر: Lecture Notes in Electrical Engineering ; Metaheuristics and Optimization in Computer and Electrical Engineering ; page 401-430 ; ISSN 1876-1100 1876-1119 ; ISBN 9783031426841 9783031426858

الاتاحة: http://dx.doi.org/10.1007/978-3-031-42685-8_13
https://link.springer.com/content/pdf/10.1007/978-3-031-42685-8_13

View record in BASE

6

Academic Journal

Application of artificial neural network and Soil and Water Assessment Tools in evaluating power generation of small hydropower stations

المؤلفون: Cai, Xiaowen, Ye, Feng, Gholinia, Fatemeh

المصدر: Energy Reports ; volume 6, page 2106-2118 ; ISSN 2352-4847

الاتاحة: https://doi.org/10.1016/j.egyr.2020.08.010
https://api.elsevier.com/content/article/PII:S2352484720312609?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S2352484720312609?httpAccept=text/plain

View record in BASE

7

Academic Journal

Reservoir optimization to produce maximum power generation under climatic conditions based on the improved bat optimization algorithm (IBOA)

المؤلفون: Wang, Juanjuan, Gholinia, Fatemeh

المساهمون: supported

المصدر: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects ; volume 45, issue 2, page 5125-5141 ; ISSN 1556-7036 1556-7230

الاتاحة: http://dx.doi.org/10.1080/15567036.2023.2208545
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2023.2208545

View record in BASE

8

Academic Journal

The Evaluation Distribution of Runoff Value on Hydroelectric Potential Change-Based RCPs Scenarios and Soft-Computing: A Case Study.

المؤلفون: Jin, Ge, Hong, Rongjing, Lu, Yuquan, Gholinia, Fatemeh

المصدر: Journal of Electrical Engineering & Technology (19750102); Jul2023, Vol. 18 Issue 4, p2551-2565, 15p

9

Academic Journal

The Evaluation Distribution of Runoff Value on Hydroelectric Potential Change-Based RCPs Scenarios and Soft-Computing: A Case Study

المؤلفون: Jin, Ge, Hong, Rongjing, Lu, Yuquan, Gholinia, Fatemeh

المصدر: Journal of Electrical Engineering & Technology ; volume 18, issue 4, page 2551-2565 ; ISSN 1975-0102 2093-7423

الاتاحة: http://dx.doi.org/10.1007/s42835-022-01343-5
https://link.springer.com/content/pdf/10.1007/s42835-022-01343-5.pdf
https://link.springer.com/article/10.1007/s42835-022-01343-5/fulltext.html

View record in BASE

10

Academic Journal

Forecasting hydropower generation by GFDL‐CM3climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search Algorithm ( ISSA)

المؤلفون: Wang, Haizhen, Wu, Xuerui, Gholinia, Fatemeh

المصدر: Concurrency and Computation: Practice and Experience ; volume 33, issue 24 ; ISSN 1532-0626 1532-0634

الاتاحة: http://dx.doi.org/10.1002/cpe.6476
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6476
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/cpe.6476

View record in BASE

11

Academic Journal

Assessing of impact climate parameters on the gap between hydropower supply and electricity demand by RCPs scenarios and optimized ANN by the improved Pathfinder (IPF) algorithm

المؤلفون: Hou, Rui, Li, Shanshan, Wu, Minrong, Ren, Guowen, Gao, Wei, Khayatnezhad, Majid, gholinia, Fatemeh

المصدر: Energy ; volume 237, page 121621 ; ISSN 0360-5442

الاتاحة: http://dx.doi.org/10.1016/j.energy.2021.121621
https://api.elsevier.com/content/article/PII:S0360544221018697?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0360544221018697?httpAccept=text/plain

View record in BASE

12

Academic Journal

Evaluation Effect Climate Parameters Change on Hydropower Production and Energy Demand by Rcps Scenarios and the Developed Pathfinder (DPA) Algorithm

المؤلفون: Gholinia, Fatemeh

المصدر: SSRN Electronic Journal ; ISSN 1556-5068

الاتاحة: http://dx.doi.org/10.2139/ssrn.3884865

View record in BASE

13

Academic Journal

Prediction of Hydropower Generation and Energy Demand by Representative Concentration Representative Scenarios and Optimal Ann Model

المؤلفون: Gholinia, Fatemeh

المصدر: SSRN Electronic Journal ; ISSN 1556-5068

الاتاحة: http://dx.doi.org/10.2139/ssrn.3883855

View record in BASE

14

Academic Journal

Forecasting hydropower generation by GFDL‐CM3 climate model and hybrid hydrological‐Elman neural network model based on Improved Sparrow Search Algorithm (ISSA).

المؤلفون: Wang, Haizhen, Wu, Xuerui, Gholinia, Fatemeh

المصدر: Concurrency & Computation: Practice & Experience; 12/25/2021, Vol. 33 Issue 24, p1-24, 24p

مصطلحات موضوعية: ARTIFICIAL neural networks, SEARCH algorithms, ATMOSPHERIC models, OPTIMIZATION algorithms, FORECASTING, WATER power

تنقيح النتائج