Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Saptarsi Goswami"'
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:
Wazib Ansar, Saptarsi Goswami
Publikováno v:
International Journal of Information Management Data Insights, Vol 1, Iss 2, Pp 100052- (2021)
Journalism has always remained a vital constituent of our society and journalists play a key role in making people aware of the happenings and developments in society. This spread of information enables shaping the ideologies, orientations and though
Externí odkaz:
https://doaj.org/article/35255c1bc57042d2a28d8ea531dc53d4
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
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 3, Pp 365-378 (2018)
Thousands of human lives are lost every year around the globe, apart from significant damage on property, animal life, etc., due to natural disasters (e.g., earthquake, flood, tsunami, hurricane and other storms, landslides, cloudburst, heat wave, fo
Externí odkaz:
https://doaj.org/article/4c8a8278dd1a4c18bcf11419e0f953b1
Publikováno v:
Symmetry, Vol 13, Iss 8, p 1544 (2021)
Accurate global horizontal irradiance (GHI) forecasting is crucial for efficient management and forecasting of the output power of photovoltaic power plants. However, developing a reliable GHI forecasting model is challenging because GHI varies over
Externí odkaz:
https://doaj.org/article/e151cdf2c9264ad59dbc67d6ed9e4191
Publikováno v:
Fuzzy Sets and Systems. 449:187-206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::023755e92061acd46d92688966a6925e
https://doi.org/10.1016/j.fss.2022.05.023
https://doi.org/10.1016/j.fss.2022.05.023
Publikováno v:
Applied Intelligence. 53:9424-9443
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae890439fe4b769a915b3849a3b3ff6
https://doi.org/10.1007/s10489-022-03865-x
https://doi.org/10.1007/s10489-022-03865-x
Publikováno v:
Neural Computing and Applications. 34:16829-16843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90431fd09dd297f5591679e1af85b81e
https://doi.org/10.1007/s00521-022-07328-9
https://doi.org/10.1007/s00521-022-07328-9
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4173-4190
Jeffries-Matusita (JM) distance, a transformation of the Bhattacharyya distance, is a widely used measure of the spectral separability distance between the two class density functions and is generally used as a class separability measure. It can be c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49dd1436bdb3f9ed2f2d77cd61c7816a
https://doi.org/10.3233/jifs-202796
https://doi.org/10.3233/jifs-202796
Publikováno v:
Proceedings of International Conference on Data Science and Applications ISBN: 9789811966330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::260d281a9b0649dd58befc516276e25b
https://doi.org/10.1007/978-981-19-6634-7_38
https://doi.org/10.1007/978-981-19-6634-7_38
