Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach

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Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org

Google-based Impact Factor: 0.66
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"Isolated Area Load Forecasting using Linear Regression Analysis: Practical Approach"
written by M. A. Mahmud,
published by Energy and Power Engineering, Vol.3 No.4, 2011

has been cited by the following article(s):

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[1]	Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches
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[2]	Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated …
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[3]	基于核极限学习机的负荷多粒度预测模型
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[6]	A Short-Term Load Forecasting Technique Using Extreme Gradient Boosting Algorithm
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[7]	Short Term Prediction of Electric Load Demand of University of Benin Using Artificial Neural Network
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[8]	SHORT TERM LOAD FORECASTING TECHNIQUE BASED ON INTEGRATION OF CONVOLUTIONAL NEURAL NETWORK AND LONG-SHORT-TERM MEMORY …
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[9]	Short term electric load forecasting using high precision convolutional neural network
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[10]	Temporal Convolutional Network Based Short-term Load Forecasting Model
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[11]	Short-term Tie-line Power Prediction Based on CNN-LSTM
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[12]	Short-Term Load Forecasting Based on SARIMAX-LSTM
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[13]	Optimization of the Forecasting Neural Network Parameters for Quality of Service Management Tasks
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[14]	A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting
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[15]	Pseudo-Inverse Matrix Model for Estimating Long-Term Annual Peak Electricity Demand: The Covenant University's Experience
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[16]	Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks
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[17]	Assessment of feature selection for student academic performance through machine learning classification
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[18]	A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market
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[19]	Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates
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[20]	基于 CNN-LSTM 混合神经网络模型的短期负荷预测方法
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[21]	Modeling, planning, application and management of energy systems for isolated areas: A review
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[22]	Investigate the forecasting technique for electricity load demand in urban area via statistical approach
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[23]	기상변수를 이용한 도서지역 전력수요 예측 모형의 적합성에 관한 연구
	2017

[24]	ARIMA with Regression Model in Modelling Electricity Load Demand
	2016

[1]	Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches Energy for Sustainable Development, 2022 DOI:10.1016/j.esd.2021.11.007

[2]	Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3185747

[3]	A Short-Term Load Forecasting Technique Using Extreme Gradient Boosting Algorithm 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), 2021 DOI:10.1109/ISGTAsia49270.2021.9715272

[4]	Short-term Tie-line Power Prediction Based on CNN-LSTM 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2), 2020 DOI:10.1109/EI250167.2020.9346998

[5]	Short-Term Load Forecasting Based on SARIMAX-LSTM 2020 5th International Conference on Power and Renewable Energy (ICPRE), 2020 DOI:10.1109/ICPRE51194.2020.9233117

[6]	Temporal Convolutional Network Based Short-term Load Forecasting Model 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS), 2020 DOI:10.1109/DDCLS49620.2020.9275148

[7]	Short-term load forecasting of multi-layer LSTM neural network considering temperature fuzzification 2020 IEEE Sustainable Power and Energy Conference (iSPEC), 2020 DOI:10.1109/iSPEC50848.2020.9351188

[8]	A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market Journal of Physics: Conference Series, 2019 DOI:10.1088/1742-6596/1176/6/062068

[9]	Assessment of feature selection for student academic performance through machine learning classification Journal of Statistics and Management Systems, 2019 DOI:10.1080/09720510.2019.1609729

[10]	Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates Energies, 2019 DOI:10.3390/en12183488

[11]	A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting 2019 IEEE Power & Energy Society General Meeting (PESGM), 2019 DOI:10.1109/PESGM40551.2019.8973549

[12]	Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019 DOI:10.1109/ECACE.2019.8679244

[13]	Modeling, planning, application and management of energy systems for isolated areas: A review Renewable and Sustainable Energy Reviews, 2018 DOI:10.1016/j.rser.2017.09.063

[14]	A Study on the Suitability of Load Demand Forecasting Models for Island Area Using Weather Variables New & Renewable Energy, 2017 DOI:10.7849/ksnre.2017.6.13.2.084

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