Mr. Vikash Saini | Energy | Editorial Board Member

MNIT, Jaipur | India

Author Profile

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Early Academic Pursuits

Vikash Saini, hailing from MNIT Jaipur, India, embarked on an academic journey marked by excellence. Graduating in Electrical Engineering and subsequently earning an M.Tech in Power Systems, he exhibited a keen interest in cutting-edge domains.

Professional Endeavors

Vikash's professional trajectory includes roles at esteemed institutions such as IIT Kanpur, Poornima College of Engineering, and significant contributions in seismic data processing at BP. He pursued a Ph.D. at MNIT Jaipur, showcasing a commitment to advancing knowledge.

Contributions and Research Focus

His expertise spans diverse areas like RE forecasting, energy storage, battery degradation models, local energy markets, and blockchain technology. Vikash has led projects focusing on smart distributive systems, EV charging infrastructure, and the impact of electric mobility.

Accolades and Recognition

Vikash's research has earned recognition with publications in renowned journals, including Elsevier. His work on short-term wind speed forecasting and optimal battery sizing demonstrates his innovative contributions to the field.

Impact and Influence

Vikash's influence extends to various domains, evident in his work on peer-to-peer energy trading, multi-agent systems, and cloud energy storage. His projects have addressed critical aspects like energy security, carbon footprint, and optimal power flow in distribution networks.

Legacy and Future Contributions

With a solid foundation in programming (C, Python) and tools like Matlab and GAMS, Vikash has positioned himself as a thought leader. His commitment to renewable energy, blockchain, and smart grids showcases a legacy focused on sustainability and technological innovation.

Notable Publications

Short term forecasting based on hourly wind speed data using deep learning algorithms 2020 (25)

Optimal energy management system for residential buildings considering the time of use price with swarm intelligence algorithms 2022 (26)

Cloud Energy Storage Systems for Consumers and Prosumers in Residential Microgrids 2020 (8)

Cloud Energy Storage Based Embedded Battery Technology Architecture for Residential Users Cost Minimization 2022 (14)

Learning Approach for Energy Consumption Forecasting in Residential Microgrid 2022 (6)



Vikash Saini | Energy | Editorial Board Member

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