Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mayur Barman"'
Autor:
Niltala Sai shanmukha Akshath, Avugaddi Naresh, Matcha Nikesh kumar, Mayur Barman, Durgesh Nandan, Tirupathi Abhilash
This research proposes a seven-level inverter with quasi-Z-source boost converters. The proposed topology employs a packed U-cell asymmetrical type multilevel inverter along with front-end quasi-Z-source networks. The quasi networks provide high gain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c1bd5d29fadc80d34ad116eb2fa4ed9
https://zenodo.org/record/6774641
https://zenodo.org/record/6774641
Autor:
Mayur Barman, Nalin B. Dev Choudhury
Publikováno v:
Energy. 174:886-896
This paper proposes a new hybrid season specific approach to incorporate the seasonality effect in short term load forecasting (STLF). A new season specific similarity concept (SSSC) is utilized to perceive the season specific meteorological necessit
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030423629
An accurate power system load forecasting (PSLF) tool is an indispensable part of modern day power systems planning, operation, control, and sustainable development. The consumer behaviors which eventually changes the demand in the electric power sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54340b32907e50c0fb3cfbb1c3b24208
https://doi.org/10.1007/978-3-030-42363-6_63
https://doi.org/10.1007/978-3-030-42363-6_63
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030423629
This paper proposes a new strategy for reducing total harmonic distortion (THD) in photo voltaic (PV) systems. Here, the perturb and observe (P&O) algorithm is introduced for maximum power point tracking (MPPT) technique in association with a model p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85458ecf5dfc958ee624b6263395d77
https://doi.org/10.1007/978-3-030-42363-6_62
https://doi.org/10.1007/978-3-030-42363-6_62
Publikováno v:
Energy. 145:710-720
In today's restructuring electricity market, short-term load forecasting (STLF) is an essential tool for the electricity utilities to predict future scenario and act towards a profitable policy. The electric load demand is highly influenced by the th
Autor:
Nalin B. Dev Choudhury, Mayur Barman
Publikováno v:
Procedia Computer Science. 143:124-132
The power system load demand is extremely prejudiced by thermal inertia caused by weather parameters. This influence even became stronger when there are vast and rapid changes in the weather parameters. Therefore it is necessary to consider the weath
Publikováno v:
Energy for Sustainable Development. 38:10-20
This study was carried out in four districts of Assam to assess the technical functionality of the solar home lighting systems (SHLS), service delivery model, institutional mechanism, maintenance and monitoring, user's awareness and its impacts on ru
Publikováno v:
SSRN Electronic Journal.
Autor:
Mayur Barman, Nalin B. Dev Choudhury
Publikováno v:
Sustainable Cities and Society. 61:102311
This paper offers a novel method of power system load forecasting (PSLF) for regional special event days (RSEDs) when the load demand is highly prejudiced by societal considerations like cultural or religious rituals. These rituals abruptly change th