متابعة
Mittal Prateek
Mittal Prateek
Research Fellow at University College London (UCL) ; Ph.D. (IIT Hyderabad)
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A novel hybrid optimization methodology to optimize the total number and placement of wind turbines
P Mittal, K Kulkarni, K Mitra
Renewable energy 86 (https://doi.org/10.1016/j.renene.2015.07), 133-147, 2016
922016
Comparative study of surrogate approaches while optimizing computationally expensive reaction networks
SS Miriyala, P Mittal, S Majumdar, K Mitra
Chemical Engineering Science 140 (https://doi.org/10.1016/j.ces.2015.09.03 …, 2016
842016
Kriging surrogate based multi-objective optimization of bulk vinyl acetate polymerization with branching
A Mogilicharla, P Mittal, S Majumdar, K Mitra
Materials and Manufacturing Processes 30 (4), 394-402, 2015
592015
Optimizing the number and locations of turbines in a wind farm addressing energy-noise trade-off: A hybrid approach
P Mittal, K Mitra, K Kulkarni
Energy conversion and management 132, 147-160, 2017
482017
Better wind forecasting using evolutionary neural architecture search driven green deep learning
KN Pujari, SS Miriyala, P Mittal, K Mitra
Expert Systems with Applications 214, 119063, 2023
392023
In search of flexible and robust wind farm layouts considering wind state uncertainty
P Mittal, K Mitra
Journal of Cleaner Production 248, 119195, 2020
312020
Determining layout of a wind farm with optimal number of turbines: A decomposition based approach
P Mittal, K Mitra
Journal of cleaner production 202, 342-359, 2018
302018
Many-objective optimization of hot-rolling process of steel: A hybrid approach
P Mittal, I Mohanty, A Malik, K Mitra
Materials and Manufacturing Processes 35 (6), 668-676, 2020
182020
Decomposition based multi-objective optimization to simultaneously determine the number and the optimum locations of wind turbines in a wind farm
P Mittal, K Mitra
IFAC-PapersOnLine 50 (1), 159-164, 2017
122017
A novel and efficient hybrid optimization approach for wind farm micro-siting
P Mittal, K Kulkarni, K Mitra
IFAC-PapersOnLine 48 (8), 397-402, 2015
122015
Multi-objective optimization of energy generation and noise propagation: A hybrid approach
P Mittal, K Kulkarni, K Mitra
2016 Indian Control Conference (ICC), 499-506, 2016
72016
Convergence of machine learning with microfluidics and metamaterials to build smart materials
P Mittal, KN Nampoothiri, A Jha, S Bansal
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-9, 2024
62024
A tanks-in-series approach to estimate parameters for lithium-ion battery models
S Kolluri, P Mittal, A Subramaniam, Y Preger, V De Angelis, ...
Journal of The Electrochemical Society 169 (5), 050525, 2022
52022
Optimal Long Short Term Memory Networks for long-term forecasting of real wind characteristics
KN Pujari, SS Miriyala, P Mittal, K Mitra
IFAC-PapersOnLine 53 (1), 648-653, 2020
52020
Energy-noise trade-off to optimize the total number and the placement of wind turbines on wind farms: A hybrid approach
P Mittal, K Mitra
2017 Indian Control Conference (ICC), 129-136, 2017
52017
A fast and effective algorithm to optimize the total number and placement of wind turbines
K Kulkarni, P Mittal
2014 IEEE Global Humanitarian Technology Conference-South Asia Satellite …, 2014
52014
Energy enhancement through noise minimization using acoustic metamaterials in a wind farm
P Mittal, G Christopoulos, S Subramanian
Renewable Energy 224, 120188, 2024
42024
Micrositing under practical constraints addressing the energy‐noise‐cost trade‐off
P Mittal, K Mitra
Wind Energy 23 (10), 1905-1918, 2020
42020
Determination of optimal layout of wind turbines inside a wind farm in presence of practical constraints
P Mittal, K Mitra
2019 Fifth Indian Control Conference (ICC), 353-358, 2019
42019
On determining optimal number and layout of wind turbines using space decomposed cost-energy trade-off algorithm
P Mittal, K Mitra
2018 Indian Control Conference (ICC), 149-154, 2018
42018
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مقالات 1–20