Deep learning in smart grid technology: A review of recent advancements and future prospects
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …
a promising landscape for high grid reliability and efficient energy management. This …
[HTML][HTML] Forecasting solar photovoltaic power production: A comprehensive review and innovative data-driven modeling framework
The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …
accurate power production prediction for effective scheduling and grid management. This …
An efficient VLSI architecture for fast motion estimation exploiting zero motion prejudgment technique and a new quadrant-based search algorithm in HEVC
In this manuscript, new quadrant-based search algorithm with zero motion prejudgment is
proposed for motion estimation (ME) in HEVC (High Efficiency Video Coding) standard. The …
proposed for motion estimation (ME) in HEVC (High Efficiency Video Coding) standard. The …
Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification
M Yu, D Niu, K Wang, R Du, X Yu, L Sun, F Wang - Energy, 2023 - Elsevier
A reliable short-term forecast of photovoltaic power (PVPF) is essential to maintaining stable
power systems and optimizing power grid dispatch. A hybrid prediction framework of PVPF …
power systems and optimizing power grid dispatch. A hybrid prediction framework of PVPF …
Forecasting and uncertainty analysis of day-ahead photovoltaic power using a novel forecasting method
B Gu, H Shen, X Lei, H Hu, X Liu - Applied Energy, 2021 - Elsevier
The primary means to promote grid-connected photovoltaic power generation is through
accurately forecasting the power output from photovoltaic power stations. This paper …
accurately forecasting the power output from photovoltaic power stations. This paper …
Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm
J Wang, Y Zhou, Z Li - Applied Energy, 2022 - Elsevier
As the penetration rate of solar energy in the grid continues to enhance, solar power
photovoltaic generation forecasts have become an indispensable aspect of mechanism …
photovoltaic generation forecasts have become an indispensable aspect of mechanism …
FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
L Liang, T Su, Y Gao, F Qin, M Pan - Journal of Cleaner Production, 2023 - Elsevier
The short-term photovoltaic (PV) power prediction is mainly used to prevent photovoltaic
power generation fluctuations, grid overvoltage, reverse current, and islanding effects. At the …
power generation fluctuations, grid overvoltage, reverse current, and islanding effects. At the …
Convergence of photovoltaic power forecasting and deep learning: State-of-art review
Deep learning (DL)-based PV Power Forecasting (PVPF) emerged nowadays as a
promising research direction to intelligentize energy systems. With the massive smart meter …
promising research direction to intelligentize energy systems. With the massive smart meter …
Memory long and short term time series network for ultra-short-term photovoltaic power forecasting
C Huang, M Yang - Energy, 2023 - Elsevier
Photovoltaic (PV) power is stochastic, intermittent and volatile, which has brought huge
challenges to the safe and stable operation of the power grid. Accurate PV power …
challenges to the safe and stable operation of the power grid. Accurate PV power …
Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of …
M Bai, Y Chen, X Zhao, J Liu, D Yu - Expert Systems with Applications, 2022 - Elsevier
Photovoltaic (PV) power is an important way to utilize solar energy. Accurate PV power
forecast is crucial to the large-scale application of PV power and the stability of electricity …
forecast is crucial to the large-scale application of PV power and the stability of electricity …