Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"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):
  • Google Scholar
  • CrossRef
[1] Short term electric load forecasting using high precision convolutional neural network
2020
[2] Temporal Convolutional Network Based Short-term Load Forecasting Model
2020
[3] Short-term Tie-line Power Prediction Based on CNN-LSTM
2020
[4] Short-Term Load Forecasting Based on SARIMAX-LSTM
2020
[5] Optimization of the Forecasting Neural Network Parameters for Quality of Service Management Tasks
2020
[6] A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting
2019
[7] Pseudo-Inverse Matrix Model for Estimating Long-Term Annual Peak Electricity Demand: The Covenant University's Experience
2019
[8] Electric Load Forecasting with Hourly Precision Using Long Short-Term Memory Networks
2019
[9] Assessment of feature selection for student academic performance through machine learning classification
2019
[10] A Deep Learning Based Real-time Load Forecasting Method in Electricity Spot Market
2019
[11] Solving the Coupled Aerodynamic and Thermal Problem for Modeling the Air Distribution Devices with Perforated Plates
2019
[12] 基于 CNN-LSTM 混合神经网络模型的短期负荷预测方法
2019
[13] Modeling, planning, application and management of energy systems for isolated areas: A review
Renewable and Sustainable Energy Reviews, 2018
[14] Investigate the forecasting technique for electricity load demand in urban area via statistical approach
Journal of Fundamental and Applied Sciences, 2018
[15] 기상변수를 이용한 도서지역 전력수요 예측 모형의 적합성에 관한 연구
2017
[16] ARIMA with Regression Model in Modelling Electricity Load Demand
2016
Free SCIRP Newsletters
Copyright © 2006-2022 Scientific Research Publishing Inc. All Rights Reserved.
Top