most citedNovel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India

29 citations · 68 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG202413 cited

Contingency Analysis of a Grid of Connected EVs for Primary Frequency Control of an Industrial Microgrid Using Efficient Control Scheme

J. N. Sabhahit, S. S. Solanke, V. K. Jadoun +3

After over a century of internal combustion engines ruling the transport sector, electric vehicles appear to be on the verge of gaining traction due to a slew of advantages, includ…

eess.SY202421 cited

A novel ANROA based control approach for grid-tied multi-functional solar energy conversion system

Dinanath Prasad, Narendra Kumar, Rakhi Sharma +3

An adaptive control approach for a three-phase grid-interfaced solar photovoltaic system based on the new Neuro-Fuzzy Inference System with Rain Optimization Algorithm (ANROA) meth…

cs.LG202429 cited

Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India

Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez +1

Wind power generated by wind has non-schedule nature due to stochastic nature of meteorological variable. Hence energy business and control of wind power generation requires predic…

cs.GT20245 cited

A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers

Alberto Pliego Marugán, Fausto Pedro García Márquez, Jesús María Pinar Pérez

Currently, wind energy is one of the most important sources of renewable energy. Offshore locations for wind turbines are increasingly exploited because of their numerous advantage…