Energy distribution and economic analysis of a residential house with the net-energy metering scheme in Malaysia

Suhaime, Norshahidatul Shahida Mohamed; Suheel, Shaikh Zishan; Safwan, Ahmad Afif; Jarimi, Hasila; Faizal, Mohd; Ibrahim, Adnan; Mat, Sohif; Fazlizan, Ahmad

doi:10.11591/ijece.v12i3.pp2313-2322

Cited by 2 publications

(1 citation statement)

References 19 publications

(23 reference statements)

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“…Furthermore, the Government has also committed itself to developing green technology to aid the above-said aims. These actions include establishing a feed-in-tariff mechanism to attract investments in renewable energy, green energy technology, and carbon credit-eligible projects [19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources

Zishan,

Molla,

Rashid

et al. 2023

Sustainability

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Alternative energy is a rapidly expanding research area primarily driven by concerns over pollution caused by inefficient conventional energy sources. However, many developing nations rely heavily on these conventional sources. In response, numerous researchers have focused on developing kinetic energy recovery systems (KERS) to capture and utilize the energy lost due to inefficiency. These KERS can be implemented in various scenarios, such as near railroad tracks, industrial flue stacks, cooling towers, and air conditioning outlets. The primary objective of this paper is to critically and comprehensively evaluate the research conducted on the development of these systems. The review reveals that the wind speed in the studied cases ranged between 15 and 22 m/s, providing a consistent and theoretically maximum potential higher than any location worldwide. Furthermore, the impact of these systems on the Betz limit, as well as their drawbacks and crucial advancements necessary for practical implementation, have been thoroughly assessed. This paper contributes to the existing body of knowledge by presenting a comprehensive analysis of the research conducted on KERS development. It highlights the potential of these systems in harnessing untapped energy sources and identifies key areas that require further attention for successful practical application.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources

Zishan,

Molla,

Rashid

et al. 2023

Sustainability

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Improving Net Energy Metering (NEM) Actual Load Prediction Accuracy using an Adaptive Learning Rate LSTM Model for Residential Use Case

Kunalan,

Sankar Krishnan,

Ramasamy

et al. 2023

E3S Web Conf.

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As an effort to promote renewable energy-based power generation, one of Malaysia’s initiatives is the net-energy metering (NEM) scheme. One of the shortcomings of residential Photovoltaic (PV) systems under the NEM scheme is that it operates with smart meters only whereby the actual load profiles by the residential consumers remain unknown. Accurate load prediction for NEM consumers is crucial for optimizing energy consumption and effectively managing net metering credits. This study proposes a new model that incorporates an adaptive learning rate and Long Short-Term Memory (LSTM) to predict the solar output power that subsequently predicts the actual load used by the NEM residential consumers. The proposed model is trained and tested using historical time series data of projected PV power and weather conditions, considering the GPS location of the PV system. The outcome of the proposed model is then compared with other state-of-the-art models like ARIMA and regression methods. It is shown that the proposed model outperforms the traditional forecasting models with a Root Mean Square Error (RMSE) value of 0.1942.

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Energy distribution and economic analysis of a residential house with the net-energy metering scheme in Malaysia

Cited by 2 publications

References 19 publications

Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources

Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources

Improving Net Energy Metering (NEM) Actual Load Prediction Accuracy using an Adaptive Learning Rate LSTM Model for Residential Use Case

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