التفاصيل البيبلوغرافية
| العنوان: |
Prediction of a City's Power Consumption by Artificial Neural Networks. |
| المؤلفون: |
Chen, Maxwell Y. |
| المصدر: |
International Journal of High School Research; Dec2023, Vol. 5 Issue 7, p109-111, 3p |
| مصطلحات موضوعية: |
ELECTRIC power consumption, ARTIFICIAL neural networks, PREDICTION models, LOAD forecasting (Electric power systems), MACHINE learning |
| مستخلص: |
Electricity is the most important and useful energy form for our modern society. This calls for smart management to have optimal usage. Artificial neural networks (ANNs) have emerged as a powerful tool in forecasting power demand, especially when multiple variables are involved. In this paper, taking a city in Morocco as an illustrating example, a long short-term memory (LSTM) neural network is developed to predict power consumption via five weather factors. Our numerical results corroborate the merits of LSTM in forecasting the load demand with which temperature exhibits the strongest correlation. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
