Evaluation on feed-in tariff scheme for residential area based on artificial neural network projection

Evaluation on feed-in tariff scheme for residential area based on artificial neural network projection

Malaysia has introduced Feed-in Tariff (FiT) mechanism in 2011. This is accordance with Renewable Energy Act 2011 and Sustainable Energy Development Authority Act 2011. This mechanism is to promote the development and encouragement of renewable energy sector in Malaysia such as solar photovoltaic (P...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Abu Bakar, Akmal Akram
التنسيق:	أطروحة
اللغة:	English
منشور في:	2016
الموضوعات:	TK Electrical engineering Electronics Nuclear engineering
الوصول للمادة أونلاين:	http://eprints.utm.my/id/eprint/77602/1/AkmalAkramAbuMFKE2016.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

An effective time of use tariffs scheme for residential area in Malaysia
بواسطة: Mohammad Jalani, Sri Nor Hafidah
منشور في: (2018)

Evaluation of different electricity feed in tariff in reducing CO2 emission
بواسطة: Abdullah, Azfar Satari
منشور في: (2013)

Analysis of feed-in tariffs for residental grid connected photovoltaic system in Malaysia
بواسطة: Teh, Liang Hean
منشور في: (2017)

Comparative analysis between net and gross metering based feed-in tariff
بواسطة: Alasadi, Samarah Qasim Ali
منشور في: (2016)

Scheduling of routing table calculation schemes in open shortest path first using artificial neural network
بواسطة: Abu Yazid, Mohamad Haider
منشور في: (2013)

The application of artificial neural network in seismic evaluation of buildings
بواسطة: Ismail, Rozaina
منشور في: (2008)

Non-intrusive load management system for residential loads using artificial neural network based arduino microcontroller
بواسطة: Abubakar, Isiyaku
منشور في: (2018)

Artificial neural networks for rainfall runoff modelling with special reference to Sg. Bedup catchment area
بواسطة: Kuok, King Kuok
منشور في: (2004)

Feed-in tariff funding policy in Malaysia : public acceptance and its implications on renewable energy growth /
بواسطة: Ahmad Syafiq Rosli
منشور في: (2015)

Development of system dynamic model to evaluate the impact of feed - in tariff for different energy resources
بواسطة: Shahmohammadi, Mohammad Sadegh
منشور في: (2015)

An application of artificial neural network classifier for medical diagnosis
بواسطة: Khaleel Ibraheem, Amjed
منشور في: (2013)

Multistage artificial neural network in structural damage detection
بواسطة: Goh, Lyn Dee
منشور في: (2015)

Detection of harmonics in power system by artificial neural network
بواسطة: Md. Rukonuzzaman, Md. Rukonuzzaman
منشور في: (1998)

Indoor localization techniques using wireless network and artificial neural network
بواسطة: Ibrahim, Aiman
منشور في: (2017)

Fault detection and classification using Artificial Neural Network (ANN)
بواسطة: Mohd. Lutpee, Irdina Nadhrah
منشور في: (2022)

Estimation of fault distance location using artificial neural network
بواسطة: Saramuji, Mohamad Fadli Adlizam
منشور في: (2018)

Location of voltage SAG source by using artificial neural network
بواسطة: Wagiman, Khairul Rijal
منشور في: (2016)

Modeling and control of an aeration tank using artificial neural network
بواسطة: Zareifard, Mohammad Tagh
منشور في: (2010)

Available transfer capability determination using artificial neural network
بواسطة: Habibuddin, Mohd. Hafiz
منشور في: (2003)

Vibration based damage detection using artificial neural network
بواسطة: Low, Tian Hock
منشور في: (2010)

Short-term load forecasting via artificial neural network
بواسطة: Muhtazaruddin, Mohd. Nabil
منشور في: (2010)

Rainfall - runoff modeling using artificial neural network method
بواسطة: Ahmat Nor, Nor Irwan
منشور في: (2005)

Static security assessment on power system using artificial neural network
بواسطة: Rahmat, Mohd. Fadli
منشور في: (2005)

Control of a photovoltaic source emulator using artificial neural network
بواسطة: Wong, Kung Ngie
منشور في: (2019)

Controller design for industrial hydraulic actuator using artificial neural network
بواسطة: Kheri, Nasrul Salim
منشور في: (2011)

Rainfall data in - filling model with expectation maximization and artificial neural network
بواسطة: Abdul Malek, Marlinda
منشور في: (2008)

Application of artificial neural network in bridge deck condition rating
بواسطة: Bakhary, Norhisham
منشور في: (2002)

Application of artificial neural network in bridge deck condition rating
بواسطة: Bakhary, Norhisham
منشور في: (2001)

Offline handwriting recognition using Artificial Neural Network and Hidden Markov Model
بواسطة: Tay, Yong Haur
منشور في: (2002)

Detection of arcing fault in underground distribution cable using artificial neural network
بواسطة: Chan, Wei Kian
منشور في: (2004)

Rainfall-runoff modelling using artificial neural network method
بواسطة: Ahmat Nor, Nor Irwan
منشور في: (2005)

Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria
بواسطة: Tan, Earn Tzeh
منشور في: (2014)

Modelling of traffic control delays at priority junctions using artificial neural network
بواسطة: Sahraei, Mohammad Ali
منشور في: (2018)

Frequency estimator using artificial neural network for electrical power system dynamics
بواسطة: Mohd. Jelani, Azliza
منشور في: (2015)

Parameter identification for fault detection of power transformer using artificial neural network
بواسطة: Rosli, Ruzaini
منشور في: (2015)

Seismic damage identification based on integrated artificial neural networks and wavelet transforms
بواسطة: Vafaei, Mohammadreza
منشور في: (2013)

Water level prediction for rivers under tidal influence using artificial neural network
بواسطة: Rosmina, Binti Ahmad Bustami
منشور في: (2005)

Multi layer feed forward artificial neural network for learning styles identification
بواسطة: Bayasut, Bilal Luqman
منشور في: (2015)

Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok
بواسطة: Bachok, Mohd Fatruz
منشور في: (2019)

Nonlinear response prediction of spar platform using artificial neural network /
بواسطة: Uddin, Md. Alhaz

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group