A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been install...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2014-02-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2014.01002 |
| _version_ | 1818261158268764160 |
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| author | KAMPOUROPOULOS, K. ANDRADE, F. GARCIA, A. ROMERAL, L. |
| author_facet | KAMPOUROPOULOS, K. ANDRADE, F. GARCIA, A. ROMERAL, L. |
| author_sort | KAMPOUROPOULOS, K. |
| collection | DOAJ |
| description | This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS)
and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS
in order to minimize the training result error. The presented algorithm has been installed and it is
being operating in an automotive manufacturing plant. It periodically communicates with the plant to
obtain new information and update the database in order to improve its training results. Finally the
obtained results of the algorithm are used in order to provide a short-term load forecasting for the
different modeled consumption processes. |
| first_indexed | 2024-12-12T18:42:47Z |
| format | Article |
| id | doaj.art-6224ba4f38db4254ad0e5dbffb37803f |
| institution | Directory Open Access Journal |
| issn | 1582-7445 1844-7600 |
| language | English |
| last_indexed | 2024-12-12T18:42:47Z |
| publishDate | 2014-02-01 |
| publisher | Stefan cel Mare University of Suceava |
| record_format | Article |
| series | Advances in Electrical and Computer Engineering |
| spelling | doaj.art-6224ba4f38db4254ad0e5dbffb37803f2022-12-22T00:15:36ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002014-02-0114191410.4316/AECE.2014.01002A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy ForecastingKAMPOUROPOULOS, K.ANDRADE, F.GARCIA, A.ROMERAL, L.This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.http://dx.doi.org/10.4316/AECE.2014.01002adaptive neuro-fuzzy inference systemenergy forecastgenetic algorithmintelligent energy management systems |
| spellingShingle | KAMPOUROPOULOS, K. ANDRADE, F. GARCIA, A. ROMERAL, L. A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting Advances in Electrical and Computer Engineering adaptive neuro-fuzzy inference system energy forecast genetic algorithm intelligent energy management systems |
| title | A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting |
| title_full | A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting |
| title_fullStr | A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting |
| title_full_unstemmed | A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting |
| title_short | A Combined Methodology of Adaptive Neuro-Fuzzy Inference System and Genetic Algorithm for Short-term Energy Forecasting |
| title_sort | combined methodology of adaptive neuro fuzzy inference system and genetic algorithm for short term energy forecasting |
| topic | adaptive neuro-fuzzy inference system energy forecast genetic algorithm intelligent energy management systems |
| url | http://dx.doi.org/10.4316/AECE.2014.01002 |
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