has been cited by the following article(s):
[1]
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Electricity Price Forecasting in Markets Considering Renewable and EV penetration using Machine Learning and DNN
2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE),
2023
DOI:10.1109/ICEPE57949.2023.10201517
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[2]
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Electricity Price Forecasting in Markets Considering Renewable and EV penetration using Machine Learning and DNN
2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE),
2023
DOI:10.1109/ICEPE57949.2023.10201517
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[3]
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Electricity Price Instability over Time: Time Series Analysis and Forecasting
Sustainability,
2022
DOI:10.3390/su14159081
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[4]
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Electricity market price calculation model and application based on system power generation cost
2022 International Conference on Service Robotics (ICoSR),
2022
DOI:10.1109/ICoSR57188.2022.00015
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[5]
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Creation of a short-term load forecasting neural network model of electrical engineering complex of section regional electric grid 6-35 kV
Transportation Systems and Technology,
2020
DOI:10.17816/transsyst20206180-91
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[6]
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Comparison of ARIMA and ANN Models Used in Electricity Price Forecasting for Power Market
Energy and Power Engineering,
2017
DOI:10.4236/epe.2017.94B015
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[7]
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Risk assessment due to electricity price forecast uncertainty in UK electricity market
2017 52nd International Universities Power Engineering Conference (UPEC),
2017
DOI:10.1109/UPEC.2017.8231903
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