Concepedia

Ultra-short-term photovoltaic power prediction based on similar day clustering and temporal convolutional network with bidirectional long short-term memory model: A case study using DKASC data

Mingyue Zhang, Yang Han, Chaoyang Wang, Ping Yang, Congling Wang, Amr S. Zalhaf

Applied Energy · 2024 · 69 citations · 41 references

Concepts

ComputingData ScienceForecastingMachine LearningTime Series AnalysisDeep LearningRenewable EnergySolar CellsSolar Energy SystemsSolar Photovoltaic SystemsTime Series ForecastingLong Short-term Memory NetworksPhotovoltaic Power ForecastingPhotovoltaic System ModelingRenewable Energy ForecastingShort-term Energy ForecastingSolar Photovoltaic Power SystemsSolar Power ForecastingTemporal Convolutional Networks

References

41

Aquila Optimizer: A novel meta-heuristic optimization algorithm

Laith Abualigah, Dalia Yousri, Mohamed Abd Elaziz et al. · Computers & Industrial Engineering · 2021 · 2.1K citations

Natural Sciences, Industrial Engineering, Algorithms +12

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

Kejun Wang, Xiaoxia Qi, Hongda Liu · Applied Energy · 2019 · 559 citations

Engineering, Meteorology, Forecasting +13

Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling

Jiuchun Jiang, Dongpu Cao, Bo Egardt · IEEE Transactions on Industrial Electronics · 2015 · 503 citations

Engineering, Data Science, Machine Learning +16

A hybrid deep learning model for short-term PV power forecasting

Pengtao Li, Kaile Zhou, Xinhui Lu et al. · Applied Energy · 2019 · 498 citations

Agriculture, Data Science, Forecasting +13

Time series forecasting of solar power generation for large-scale photovoltaic plants

Hussein Sharadga, Shima Hajimirza, Robert S. Balog · Renewable Energy · 2019 · 432 citations

Computing, Data Science, Forecasting +15