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Wavelet Transform Based Gated-Recurrent Unit Deep Learning Approach for Power Output of Solar Photovoltaic System Forecasting
SN Computer Science,
2025
DOI:10.1007/s42979-025-03786-9
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[2]
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Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization
International Journal of Electrical Power & Energy Systems,
2024
DOI:10.1016/j.ijepes.2024.110206
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A Single-Buyer Model of Imbalance Cost Pass-Through Pricing Forecasting in the Malaysian Electricity Supply Industry
Electricity,
2024
DOI:10.3390/electricity5020015
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[4]
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Day-Ahead Zonal Electricity Price Forecasting using 1D-LSTM with Neighbouring Zones Data
2023 IEEE Belgrade PowerTech,
2023
DOI:10.1109/PowerTech55446.2023.10202771
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[5]
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Forecasting Applied to the Electricity, Energy, Gas and Oil Industries: A Systematic Review
Mathematics,
2022
DOI:10.3390/math10213930
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[6]
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Comparing Neural Networks in Forecasting Market Electricity Prices and Regional Energy Consumption
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM),
2022
DOI:10.1109/ICIEAM54945.2022.9787216
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Forecasting Applied to the Electricity, Energy, Gas and Oil Industries: A Systematic Review
Mathematics,
2022
DOI:10.3390/math10213930
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[8]
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Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT
Wireless Communications and Mobile Computing,
2021
DOI:10.1155/2021/9981581
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[9]
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Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT
Wireless Communications and Mobile Computing,
2021
DOI:10.1155/2021/9981581
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[10]
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Daily Electric Forecast for Various Indian Regions Using ANN
2020 International Conference on Electrical and Electronics Engineering (ICE3),
2020
DOI:10.1109/ICE348803.2020.9122976
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[11]
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Electricity Spot Prices Forecasting for MIBEL by using Deep Learning: a comparison between NAR, NARX and LSTM networks
2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe),
2020
DOI:10.1109/EEEIC/ICPSEurope49358.2020.9160587
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[12]
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A Python Application for Hourly Electricity Prices Forecasting Using Neural Networks
2020 International Russian Automation Conference (RusAutoCon),
2020
DOI:10.1109/RusAutoCon49822.2020.9208035
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Developing a Digital Model of an Electricity Consumer using Deep Learning
2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA),
2020
DOI:10.1109/SUMMA50634.2020.9280610
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Intelligent and Interactive Computing
Lecture Notes in Networks and Systems,
2019
DOI:10.1007/978-981-13-6031-2_33
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A bat optimized neural network and wavelet transform approach for short-term price forecasting
Applied Energy,
2018
DOI:10.1016/j.apenergy.2017.10.058
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Cost-Benefit Analysis of Li-Ion Batteries in a Distribution Network
2018 15th International Conference on the European Energy Market (EEM),
2018
DOI:10.1109/EEM.2018.8469782
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Electricity Price Forecasting for Nord Pool Data
2018 International Conference on Platform Technology and Service (PlatCon),
2018
DOI:10.1109/PlatCon.2018.8472762
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[18]
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Data Analytics for Price Forecasting in Smart Grids: A Survey
2018 IEEE 21st International Multi-Topic Conference (INMIC),
2018
DOI:10.1109/INMIC.2018.8595571
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[19]
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Price Forecasting Technique and Methods in Deregulated Electricity Market: an Inclusive Review
2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC),
2018
DOI:10.1109/PEEIC.2018.8665606
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[20]
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Long-Term Price Forecasting for the Cost-Benefit Analysis of Power Equipment
2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON),
2018
DOI:10.1109/RTUCON.2018.8659888
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[21]
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Estimating the Economic Impacts of Net Metering Schemes for Residential PV Systems with Profiling of Power Demand, Generation, and Market Prices
Energies,
2018
DOI:10.3390/en11113222
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