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Short-term power load forecasting based on multi-layer bidirectional recurrent neural network

IET generation, transmission & distribution, 2019-09, Vol.13 (17), p.3847-3854

2019

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Combined probabilistic forecasting method for photovoltaic power using an improved Markov chain

IET generation, transmission & distribution, 2019-10, Vol.13 (19), p.4364-4373

2019

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Probabilistic deep neural network price forecasting based on residential load and wind speed predictions

IET renewable power generation, 2019-08, Vol.13 (11), p.1840-1848

2019

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Ramp events forecasting based on long-term wind power prediction and correction

IET renewable power generation, 2019-11, Vol.13 (15), p.2793-2801

2019

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Uncertainty-aware forecast interval for hourly PV power output

IET renewable power generation, 2019-10, Vol.13 (14), p.2656-2664

2019

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Accurate prediction of photovoltaic power output based on long short-term memory network

IET optoelectronics, 2020-12, Vol.14 (6), p.399-405

2020

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Wind power forecast with error feedback and its economic benefit in power system dispatch

IET generation, transmission & distribution, 2018-11, Vol.12 (21), p.5730-5738

2018

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Optimized Operation of Integrated Energy Microgrid with Energy Storage Based on Short-Term Load Forecasting

Electronics (Basel), 2022-01, Vol.11 (1), p.22

2022

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A Machine Learning-Assisted Clustering Engine to Enhance the Accuracy of Hourly Load Forecasting

2020 10th Smart Grid Conference (SGC), 2020, p.1-6

2020

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Validating the power loss model of a transformer by measurement: the price to pay

Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344), 2002, Vol.2, p.1377-1382 vol.2

Keradec, J.-P.

2002

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Short-term power load forecasting based on multi-layer bidirectional recurrent neural network

Combined probabilistic forecasting method for photovoltaic power using an improved Markov chain

Probabilistic deep neural network price forecasting based on residential load and wind speed predictions

Ramp events forecasting based on long-term wind power prediction and correction

Uncertainty-aware forecast interval for hourly PV power output

Accurate prediction of photovoltaic power output based on long short-term memory network

Wind power forecast with error feedback and its economic benefit in power system dispatch

Optimized Operation of Integrated Energy Microgrid with Energy Storage Based on Short-Term Load Forecasting

A Machine Learning-Assisted Clustering Engine to Enhance the Accuracy of Hourly Load Forecasting

Validating the power loss model of a transformer by measurement: the price to pay

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