Non-intrusive load management system for residential loads using artificial neural network based arduino microcontroller
The energy monitoring is one of the most important aspects of energy management. In fact there is a need to monitor the power consumption of a building or premises before planning technical actions to minimize the energy consumption. In traditional load monitoring method, a sensor or a group of sens...
محفوظ في:
المؤلف الرئيسي: | Abubakar, Isiyaku |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2018
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/79324/1/IsiyakuAbubakarPFKE2018.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Short-term load forecasting via artificial neural network
بواسطة: Muhtazaruddin, Mohd. Nabil
منشور في: (2010) -
Electricity load forecasting for power system planning and operation by using artificial neural network
بواسطة: Mohamed, Yakub Hussein
منشور في: (2022) -
Load modelling and simulation of industrial and residential load for harmonic analysis
بواسطة: Mohamad, Mohamad Naim
منشور في: (2016) -
Load scheduling for smart home using day-ahead prediction from Artificial Neural Network (ANN)
بواسطة: Joharry, Siti Hajar
منشور في: (2020) -
Evaluation on feed-in tariff scheme for residential area based on artificial neural network projection
بواسطة: Abu Bakar, Akmal Akram
منشور في: (2016)