Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhuofu Deng"'
Publikováno v:
IEEE Access, Vol 11, Pp 56550-56560 (2023)
A large number of electric vehicles (EVs) are connected to the grid, increasing the risk of power quality deterioration. Meanwhile, power quality disturbances (PQDs) directly affect EV charging safety. Intelligent identification of complex PQDs is th
Externí odkaz:
https://doaj.org/article/c3961902f33e44e68f0d9f322516212a
Publikováno v:
IEEE Access, Vol 7, Pp 88058-88071 (2019)
Electric load forecasting has always been a key component of power grids. Many countries have opened up electricity markets and facilitated the participation of multiple agents, which create a competitive environment and reduce costs to consumers. In
Externí odkaz:
https://doaj.org/article/9a0e0464eb56474e9e9a0d6f813de98d
Publikováno v:
Complexity, Vol 2020 (2020)
Residential load forecasting is important for many entities in the electricity market, but the load profile of single residence shows more volatilities and uncertainties. Due to the difficulty in producing reliable point forecasts, probabilistic load
Externí odkaz:
https://doaj.org/article/3562ebf67c4041a486a2cd3cbf88dc11
Publikováno v:
2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC).
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
Maxillary sinus segmentation plays an important role in the choice of therapeutic strategies for nasal disease and treatment monitoring. Difficulties in traditional approaches deal with extremely heterogeneous intensity caused by lesions, abnormal an
Publikováno v:
Complexity, Vol 2020 (2020)
Residential load forecasting is important for many entities in the electricity market, but the load profile of single residence shows more volatilities and uncertainties. Due to the difficulty in producing reliable point forecasts, probabilistic load
Publikováno v:
Computational Intelligence and Neuroscience.
In the competitive electricity market, electricity price reflects the relationship between power supply and demand and plays an important role in the strategic behavior of market players. With the development of energy storage systems after watt-hour
Publikováno v:
IEEE Access, Vol 7, Pp 88058-88071 (2019)
Electric load forecasting has always been a key component of power grids. Many countries have opened up electricity markets and facilitated the participation of multiple agents, which create a competitive environment and reduce costs to consumers. In
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Household load forecasting provides great challenges as a result of high uncertainty in individual consumption of load profile. Traditional models based on machine learning tried to explore uncertainty depending on clustering, spectral analysis, and
Publikováno v:
Innovation in Medicine and Healthcare ISBN: 9789811558511
In this paper, we proposed an end-to-end deep convolutional neural model to implement weakly and semi-supervised learning in order to resolve insufficient training data with pixel-wised annotation. Entire model consists of two branches. At first, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8698988a6dcd2c1ef41268fbeaedd906
https://doi.org/10.1007/978-981-15-5852-8_14
https://doi.org/10.1007/978-981-15-5852-8_14