Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Sugata Sen Roy"'
Autor:
Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Amlan Chakrabarti, Sugata Sen Roy, K. Boopathi, A. G. Rangaraj
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 946-965 (2021)
Complex weather conditions—in particular clouds—leads to uncertainty in photovoltaic (PV) systems, which makes solar energy prediction very difficult. Currently, in the renewable energy domain, deep-learning-based sequence models have reported be
Externí odkaz:
https://doaj.org/article/4cecab61e78a4827b7ccdcd42902c09e
Autor:
Moumita Chatterjee, Sugata Sen Roy
Publikováno v:
Statistica, Vol 79, Iss 4, Pp 445-460 (2020)
In this paper, we study the pattern of inclusion and exclusion of players from a team in any team sport. Usually these inclusions and exclusions are related to the player’s performance in the matches previously played. Also the inclusion and exclus
Externí odkaz:
https://doaj.org/article/758aefbdd9434ee1972cc97171507d3c
Autor:
Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Amlan Chakrabarti, Sugata Sen Roy, K. Boopathi, A. G. Rangaraj
Publikováno v:
Energies, Vol 15, Iss 10, p 3568 (2022)
Accurate short-term solar forecasting is challenging due to weather uncertainties associated with cloud movements. Typically, a solar station comprises a single prediction model irrespective of time and cloud condition, which often results in subopti
Externí odkaz:
https://doaj.org/article/1f3092adb519407eaf7735f572eb45e0
Autor:
Sibnarayan Guria, Sugata Sen Roy
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 4 (2016)
In this paper we study the diagnostics of a multiresponse regression model with a first-order autoregressive error sequence. The deletion technique is used to identify the outliers taking account of the dependence structure of the errors. Besides the
Externí odkaz:
https://doaj.org/article/6e634fbf7434403cb260a5818130de31
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics.
The central idea of this paper is to compare mean responses of several subjects in the presence of censoring and subject-specific variation. We develop a semiparametric mixed model for fitting subject-specific hazard curves to a set of censored failu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::590bc9d48f03615275988f7e6bba40cf
https://doi.org/10.1093/jrsssc/qlad030
https://doi.org/10.1093/jrsssc/qlad030
Autor:
Sugata Sen Roy, Bhaswati Ganguli, K. Boopathi, A. G. Rangaraj, Sourav Malakar, Amlan Chakrabarti, Saptarsi Goswami
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 47, Pp 946-965 (2021)
Machine Learning and Knowledge Extraction; Volume 3; Issue 4; Pages: 946-965
Machine Learning and Knowledge Extraction; Volume 3; Issue 4; Pages: 946-965
Complex weather conditions—in particular clouds—leads to uncertainty in photovoltaic (PV) systems, which makes solar energy prediction very difficult. Currently, in the renewable energy domain, deep-learning-based sequence models have reported be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b92537cd75c8b5138a1c83eaac728ddc
https://www.mdpi.com/2504-4990/3/4/47
https://www.mdpi.com/2504-4990/3/4/47
Publikováno v:
The Journal of Mathematical Sociology. 46:99-119
Presence of social network among the respondents in a survey may have an influence on the patterns of response. Latent class analysis identifies hidden subgroups in the respondents in a survey and ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7338086000b92887aa7aab641942217b
https://doi.org/10.1080/0022250x.2020.1821199
https://doi.org/10.1080/0022250x.2020.1821199
Publikováno v:
Journal of Quantitative Economics. 19:67-85
Child Labour has been one of the persistent problems that has affected development. In spite of the efforts at both the national and international levels by government, social organisations and international bodies, child labour is widely prevalent i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::026f429a347d23278f784924bd9652ef
https://doi.org/10.1007/s40953-020-00219-7
https://doi.org/10.1007/s40953-020-00219-7
Autor:
Sourav Malakar, Saptarsi Goswami, Sugata Sen Roy, K. Boopathi, A. G. Rangaraj, Bhaswati Ganguli, Amlan Chakrabarti
Publikováno v:
SN Applied Sciences. 3
Long short-term memory (LSTM) models based on specialized deep neural network-based architecture have emerged as an important model for forecasting time-series. However, the literature does not provide clear guidelines for design choices, which affec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a1be5fdeec644ee114cf68f26fb9b7
https://doi.org/10.1007/s42452-021-04421-x
https://doi.org/10.1007/s42452-021-04421-x
Autor:
Sugata Sen Roy, Saptarsi Goswami, Aditya Kumar Barik, Bhaswati Ganguli, Amlan Chakrabarti, Sourav Malakar
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789811556180
A precise understanding of solar energy generation is important for many reasons like storage, delivery, and integration. Global Horizontal Irradiance (GHI) is the strongest predictor of actual generation. Hence, the solar energy prediction problem c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f5288103189ddb725010e112d655d5f
https://doi.org/10.1007/978-981-15-5619-7_5
https://doi.org/10.1007/978-981-15-5619-7_5
