Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[PDF][PDF] Electricity demand estimation using an adaptive neuro-fuzzy network: a case study from the state of Johor, Malaysia
AA Bazmia, M Davoodya, G Zahedia - International Journal, 2012 - Citeseer
Electricity is one of the energy types that have attracted a lotof interest due to its versatility.
Rigorous analysis of the determinants of electricity demand as well as its accurate …
Rigorous analysis of the determinants of electricity demand as well as its accurate …
[書籍][B] The use of artificial neural networks as a sales forecasting method: A quantitative ex post facto study
F Samyn - 2013 - search.proquest.com
The desire to forecast or to guess what the future entails is part of human nature. Businesses
cannot operate without estimating future demand for their products or services. The problem …
cannot operate without estimating future demand for their products or services. The problem …
Modular electrical demand forecasting framework—A novel hybrid model approach
KA Keitsch, T Bruckner - … on Systems, Signals & Devices (SSD), 2016 - ieeexplore.ieee.org
In the face of a changing European power market, accurate electric load forecasts are of
significant importance for power traders, power utility and grid operators to reduce costs for …
significant importance for power traders, power utility and grid operators to reduce costs for …
Improving Short Term Load Forecasting with a Novel Hybrid Model Approach as a Precondition for Algorithmic Trading
K Keitsch, T Bruckner - Power Electrical Systems: Extended Papers …, 2018 - degruyter.com
Considering the changing European power market, accurate electric load forecasts are of
significant importance for power traders to reduce costs for ancillary services by leveling …
significant importance for power traders to reduce costs for ancillary services by leveling …
[PDF][PDF] The Consolidation of Forecests with Regression Models
DJL Venter - 2014 - core.ac.uk
The evaluation of paired comparison models Page 1 THE CONSOLIDATION OF
FORECASTS WITH REGRESSION MODELS by DANIEL JACOBUS LODEWYK VENTER …
FORECASTS WITH REGRESSION MODELS by DANIEL JACOBUS LODEWYK VENTER …
[PDF][PDF] SUPERSTRUCTURE OPTIMIZATION AND FORECASTING OF DECENTRALIZED ELECTRICITY GENERATION BASED ON PALM OIL BIOMASS
AA BAZMI - 2013 - academia.edu
Malaysia realizes the importance of addressing the concern of energy security to accomplish
the nation's policy objectives by mitigating the issues of security, energy efficiency and …
the nation's policy objectives by mitigating the issues of security, energy efficiency and …
[PDF][PDF] Multispectral Fusion for Synthetic Aperture Radar (SAR) Image Based Framelet Transform
MH Miry - Full Papers Conference Proceeding, 2011 - iasj.net
The technique of fusing a panchromatic (Pan) SAR image that has a highspatial and low-
spectral resolution with multispectral (MS) SAR images that have a low-spatial and high …
spectral resolution with multispectral (MS) SAR images that have a low-spatial and high …
[PDF][PDF] Electricity Forecasting For The Small Scale Power System Using Artificial Neural Network
N Sulaiman - 2010 - utpedia.utp.edu.my
The study is about to forecast the electricity demand values of UTP. The electricity profile of
GDC (UTP) has been analyzed based on the historical data gathered. Using the analyzed …
GDC (UTP) has been analyzed based on the historical data gathered. Using the analyzed …