scholarly journals A Fuzzy Logic Model for Hourly Electrical Power Demand Modeling

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
New England ◽  
Electrical Power ◽  
Logic Model ◽  
Power Demand ◽  
Demand Modeling ◽  
Mapping Model ◽  
Fuzzy Logic Model ◽  
Radial Basis

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.

scholarly journals The Use of Fuzzy Logic Model to Investigate the Effect of Weather Parameter Impact on Electrical Load Based on Short Term Forecasting: Further Study

2018 ◽  
pp. 1-10
Author(s):  
Danladi Ali ◽  
G. P. Vasira
Keyword(s):  
Fuzzy Logic ◽  
Electrical Power ◽  
Decision Rules ◽  
Load Forecasting ◽  
Logic Model ◽  
Percentage Error ◽  
Electrical Load ◽  
Short Term ◽  
Fuzzy Logic Model ◽  
Fuzzy Logic Approach

Electrical load forecasting is very important for effective planning and management of power system. Accurate load forecasting helps the electrical power company to make some decisions on how to meet up with their consumers’ demand.  This paper presents a solution methodology using fuzzy logic approach for short term load forecasting (SLTF) for Adamawa State University. The proposed method used fuzzy reasoning decision rules that utilized the nonlinear relationship between inputs and output. The model developed was able to forecast the future load with mean absolute percentage error (MAPE) of 1.36% and forecasting without previous load at the input of the fuzzy logic model yields better prediction error. However, from the result obtained, it shows temperature has a significant impact on electrical load than the relative humidity. Also, electrical load shall increase by 1.84 kW on the 25th September, 2018 due to increase in temperature.

A Fuzzy Logic Model to Predict Coral Reef Development under Nutrient and Sediment Stress

1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar
Keyword(s):  
Fuzzy Logic ◽  
Coral Reef ◽  
Logic Model ◽  
Reef Development ◽  
Fuzzy Logic Model

Proposal and Optimization of a Fuzzy Logic Model for Automobile Injection Diagnosis Using Evolutionary Algorithms

2013 ◽  
Author(s):  
Cesar Leonardo Gonzalez Pinzon ◽  
Helbert Eduardo Espitia Cuchango ◽  
Carlos Ponce Corral ◽  
Jaime Romero Gonzalez
Keyword(s):  
Fuzzy Logic ◽  
Evolutionary Algorithms ◽  
Logic Model ◽  
Fuzzy Logic Model

scholarly journals Fuzzy logic model for the prediction of cement compressive strength

2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can
Keyword(s):  
Compressive Strength ◽  
Fuzzy Logic ◽  
Logic Model ◽  
Fuzzy Logic Model

scholarly journals Fuzzy Logic Model for Prediction of Properties of Fiber Reinforced Self-compacting Concrete

2013 ◽  
Vol 19 (2) ◽  
Author(s):  
Osman GENCEL ◽  
Cengiz OZEL ◽  
Fuat KOKSAL ◽  
Gonzalo MARTÍNEZ-BARRERA ◽  
Witold BROSTOW ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Logic Model ◽  
Fiber Reinforced ◽  
Self Compacting Concrete ◽  
Prediction Of Properties ◽  
Fuzzy Logic Model
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