Results 181 to 190 of about 144,184 (291)

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

Energy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

Intuitionistic fuzzy approach based on correlation coefficient and signless Laplacian energy with applications. [PDF]

Sci Rep
Atheeque AM, Basha SS.
europepmc   +1 more source

Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems

Energy Science &Engineering, EarlyView.
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk, Habib Benbouhenni, Adil Yahdou, Zakaria Mohamed Salem Elbarary, Nicu Bizon   +4 more
wiley   +1 more source

Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]

Sci Rep
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Prominence-guided link prediction in fuzzy robotic networks. [PDF]

Sci Rep
Jeyakumar DJ, Rajkumar V, Peter TPD, Gomathi N.   +3 more
europepmc   +1 more source

Bipolar q $q$‐Fractional Fuzzy Aggregation Operators for Multi‐Criteria Decision‐Making in Optimal Renewable Energy Selection

Energy Science &Engineering, EarlyView.
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa, Zanyar A. Ameen, Wafa Alagal, Baravan A. Asaad   +3 more
wiley   +1 more source

Modelling the effect of motivation on mental health components with fuzzy logic among elite athletes. [PDF]

Sci Rep
Şenel AA, Adiloğulları GE, Şenel E.
europepmc   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Clustering-based progressive alignment with fuzzy logic (CPA-FL). [PDF]

Biochem Biophys Rep
Hajieghrari B.
europepmc   +1 more source