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Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

https://doi.org/10.1109/access.2019.2923796
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-23471-3_12openalex-snapshot
Load Forecasting
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OP-ELM: Theory, Experiments and a Toolbox
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Assessment of access to electricity and the socio-economic impacts in rural areas of developing countries
inferredcites →https://doi.org/10.1016/j.enpol.2010.05.014openalex-snapshot
Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/j.promfg.2016.12.028openalex-snapshot
Determining Distribution Power System Loading Measurements Accuracy Using Fuzzy Logic
inferredcites →https://doi.org/10.1016/j.worlddev.2010.02.021openalex-snapshot
Access and Affordability of Electricity in Developing Countries
inferredcites →https://doi.org/10.1103/revmodphys.34.123openalex-snapshot
The Perceptron: A Model for Brain Functioning. I
inferredcites →https://doi.org/10.1109/access.2014.2325029openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2018.2888978openalex-snapshot
Enhanced Deep Networks for Short-Term and Medium-Term Load Forecasting
inferredcites →https://doi.org/10.1109/access.2018.2889500openalex-snapshot
Analysis and Accurate Prediction of User’s Response Behavior in Incentive-Based Demand Response
inferredcites →https://doi.org/10.1109/access.2019.2895604openalex-snapshot
Deep Learning for Daily Peak Load Forecasting–A Novel Gated Recurrent Neural Network Combining Dynamic Time Warping
inferredcites →https://doi.org/10.1109/access.2019.2904094openalex-snapshot
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inferredcites →https://doi.org/10.1109/afrcon.1999.821906openalex-snapshot
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inferredcites →https://doi.org/10.1109/cies.2013.6611745openalex-snapshot
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inferredcites →https://doi.org/10.1109/eurocon.2015.7313694openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccnc.2017.7876196openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccre.2017.7935064openalex-snapshot
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inferredcites →https://doi.org/10.1109/icdmai.2017.8073480openalex-snapshot
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inferredcites →https://doi.org/10.1109/ieeegcc.2017.8448125openalex-snapshot
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inferredcites →https://doi.org/10.1109/ijcnn.2014.6889651openalex-snapshot
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inferredcites →https://doi.org/10.1109/ijcnn.2014.6889898openalex-snapshot
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inferredcites →https://doi.org/10.1109/ijcnn.2017.7966378openalex-snapshot
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inferredcites →https://doi.org/10.1109/ijcnn.2017.7966398openalex-snapshot
Monthly energy consumption forecast: A deep learning approach
inferredcites →https://doi.org/10.1109/ines.2011.5954729openalex-snapshot
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inferredcites →https://doi.org/10.1109/irec.2017.7926047openalex-snapshot
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inferredcites →https://doi.org/10.1109/irec.2018.8362552openalex-snapshot
Optimization of PV model using fuzzy-neural network for DC-DC converter systems
inferredcites →https://doi.org/10.1109/jeeit.2019.8717434openalex-snapshot
Power Distribution Networks Load Forecasting Using Deep Belief Networks: The South African Case
inferredcites →https://doi.org/10.1109/lsp.2018.2871419openalex-snapshot
A Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality
inferredcites →https://doi.org/10.1109/mis.2017.23openalex-snapshot
Deep Learning-Based Document Modeling for Personality Detection from Text
inferredcites →https://doi.org/10.1109/pedes.2018.8707876openalex-snapshot
South African Distribution Networks Load Forecasting Using ANFIS
inferredcites →https://doi.org/10.1109/pesgm.2016.7741992openalex-snapshot
Forecast load impact from demand response resources
inferredcites →https://doi.org/10.1109/powercon.2010.5666060openalex-snapshot
Management of short term load forecasting in South African power networks
inferredcites →https://doi.org/10.1109/robomech.2017.8261137openalex-snapshot
Determining South African distribution power system big data integrity using fuzzy logic: Power measurements data application
inferredcites →https://doi.org/10.1109/smc.2013.383openalex-snapshot
Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems
inferredcites →https://doi.org/10.1109/smc.2017.8123012openalex-snapshot
Long short term memory networks for short-term electric load forecasting
inferredcites →https://doi.org/10.1109/tmi.2016.2528120openalex-snapshot
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images
inferredcites →https://doi.org/10.1109/tpwrs.2010.2096829openalex-snapshot
Short-Term Transmission-Loss Forecast for the Slovenian Transmission Power System Based on a Fuzzy-Logic Decision Approach
inferredcites →https://doi.org/10.1109/tpwrs.2012.2190627openalex-snapshot
Electricity Price Forecasting With Extreme Learning Machine and Bootstrapping
inferredcites →https://doi.org/10.1109/tpwrs.2013.2269803openalex-snapshot
A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines
inferredcites →https://doi.org/10.1109/tpwrs.2017.2688178openalex-snapshot
Short-Term Residential Load Forecasting Based on Resident Behaviour Learning
inferredcites →https://doi.org/10.1109/tsg.2017.2743760openalex-snapshot
Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting
inferredcites →https://doi.org/10.1109/tsg.2017.2753802openalex-snapshot
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inferredcites →https://doi.org/10.1109/tste.2018.2825780openalex-snapshot
Predictive Risk Analytics for Weather-Resilient Operation of Electric Power Systems
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.48550/arxiv.1702.01923openalex-snapshot
Comparative Study of CNN and RNN for Natural Language Processing

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SUBSTATION FEEDER LOAD FORECASTING USING BACK PROPAGATION NETWORK
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Forecasting Energy Demand Using Conditional Random Field and Convolution Neural Network
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