Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Ronald H. Brown"'
Publikováno v:
Energies, Vol 14, Iss 21, p 7118 (2021)
Natural gas customers rely upon utilities to provide gas for heating in the coldest parts of winter. Heating capacity is expensive, so utilities and end users (represented by commissions) must agree on the coldest day on which a utility is expected t
Externí odkaz:
https://doaj.org/article/628e3f358c6e4789bf3ceaf9a6c61992
Publikováno v:
Energies, Vol 11, Iss 8, p 2008 (2018)
Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech proc
Externí odkaz:
https://doaj.org/article/c281cfb243b848d0bfa9f3757d3caa15
Publikováno v:
2010 North Midwest Section Proceedings.
Publikováno v:
Energies
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2008 (2018)
Volume 11
Issue 8
Energies, Vol 11, Iss 8, p 2008 (2018)
Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech proc
Publikováno v:
2018 IEEE Power & Energy Society General Meeting (PESGM).
Many needs exist in the energy industry where measurement is monthly yet daily values are required. The process of disaggregation of low frequency measurement to higher frequency values has been presented in this literature. Also, a novel method that
Autor:
Richard J. Povinelli, George F. Corliss, Vitullo Steven R, Ronald H. Brown, Monica Adya, Paul E. Kaefer
Publikováno v:
2015 IEEE Power & Energy Society General Meeting.
This paper presents a novel detrending algorithm that allows long-term natural gas demand signals to be used effectively to generate high quality short-term natural gas demand forecasting models. Short data sets in natural gas forecasting inadequatel
Autor:
Wayne E, Zeller, Aina, Ramsay, Honorata M, Ropiak, Christos, Fryganas, Irene, Mueller-Harvey, Ronald H, Brown, Chris, Drake, John H, Grabber
Publikováno v:
Journal of agricultural and food chemistry. 63(7)
Studies with a diverse array of 22 purified condensed tannin (CT) samples from nine plant species demonstrated that procyanidin/prodelphinidin (PC/PD) and cis/trans-flavan-3-ol ratios can be appraised by (1)H-(13)C HSQC NMR spectroscopy. The method w
Publikováno v:
IEEE Transactions on Industry Applications. 39:1005-1013
This paper develops the foundations of a technique for detection and categorization of dynamic/static eccentricities and bar/end-ring connector breakages in squirrel-cage induction motors that is not based on the traditional Fourier transform frequen
Publikováno v:
International Journal of Systems Science. 34:403-412
In this paper, we first propose a modified definition for timescale separation ratio for the discrete-time system. Then, based on this new timescale separation ratio, a timescale analysis is presented to decompose the system into fast and slow subsys
Publikováno v:
IEE Proceedings - Control Theory and Applications. 148:391-396
A method for the decomposition of unified state-feedback singularly perturbed systems is presented. Based on the small-gain theorem, a sufficient condition for robust stability is derived such that the composite state feedback renders the closed-loop