Search Results - "Pipattanasomporn, Manisa"

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  1. 1

    Comparative analysis of auction mechanisms and bidding strategies for P2P solar transactive energy markets by Lin, Jason, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in Applied energy (01-12-2019)
    “…•A comparative analysis of auction mechanisms and bidding strategies is presented.•Impacts of bidding strategies & auction mechanisms on various markets is…”
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    Journal Article
  2. 2

    Communication network requirements for major smart grid applications in HAN, NAN and WAN by Kuzlu, Murat, Pipattanasomporn, Manisa, Rahman, Saifur

    “…Since the introduction of the smart grid, accelerated deployment of various smart grid technologies and applications have been experienced. This allows the…”
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    Journal Article
  3. 3

    Development of physical-based demand response-enabled residential load models by Shengnan Shao, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in IEEE transactions on power systems (01-05-2013)
    “…In order to support the growing interest in demand response (DR) modeling and analysis, there is a need for physical-based residential load models. The…”
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    Journal Article
  4. 4

    Sizing Energy Storage to Mitigate Wind Power Forecast Error Impacts by Signal Processing Techniques by Bitaraf, Hamideh, Rahman, Saifur, Pipattanasomporn, Manisa

    Published in IEEE transactions on sustainable energy (01-10-2015)
    “…This paper proposes to use discrete Fourier transform (DFT) and discrete wavelet transform (DWT) methods to schedule grid-scale energy storage systems to…”
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    Journal Article
  5. 5

    Cybersecure and scalable, token-based renewable energy certificate framework using blockchain-enabled trading platform by Cali, Umit, Kuzlu, Murat, Sebastian-Cardenas, D. Jonathan, Elma, Onur, Pipattanasomporn, Manisa, Reddi, Ramesh

    Published in Electrical engineering (01-04-2024)
    “…Decarbonization of energy systems has been a recent trend during the last two decades where large-scale renewable energy sources (RES) are integrated into the…”
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  6. 6

    CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets by Pipattanasomporn, Manisa, Chitalia, Gopal, Songsiri, Jitkomut, Aswakul, Chaodit, Pora, Wanchalerm, Suwankawin, Surapong, Audomvongseree, Kulyos, Hoonchareon, Naebboon

    Published in Scientific data (20-07-2020)
    “…This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the…”
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  7. 7

    Simultaneous wound border segmentation and tissue classification using a conditional generative adversarial network by Sarp, Salih, Kuzlu, Murat, Pipattanasomporn, Manisa, Guler, Ozgur

    “…Generative adversarial network (GAN) applications on medical image synthesis have the potential to assist caregivers in deciding a proper chronic wound…”
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  8. 8

    Mitigating the Impact of Renewable Variability With Demand-Side Resources Considering Communication and Cyber Security Limitations by Bian, Desong, Shi, Di, Pipattanasomporn, Manisa, Kuzlu, Murat, Rahman, Saifur

    Published in IEEE access (2019)
    “…With the rapid development of smart grid, the penetration of renewable energy resources is higher than ever and keeps growing. However, the output of renewable…”
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  9. 9
  10. 10

    Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques by Cai, Mengmeng, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in Applied energy (15-02-2019)
    “…•Reduced forecasting errors compared to conventional time-series model.•Capable of handling high level uncertainty in the building load.•Multi-step formulated…”
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  11. 11

    Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts by Ghosh, Shibani, Rahman, Saifur, Pipattanasomporn, Manisa

    Published in IEEE transactions on sustainable energy (01-01-2017)
    “…Distribution voltage profiles are subjected to overvoltage limit violations from high penetration of grid-connected photovoltaic (PV) systems. Such voltage…”
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  12. 12

    Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks by Chitalia, Gopal, Pipattanasomporn, Manisa, Garg, Vishal, Rahman, Saifur

    Published in Applied energy (15-11-2020)
    “…•A comprehensive framework for short-term electrical load forecasting is presented.•RNN with attention reduced forecasting errors by 20–45% from the state of…”
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    Journal Article
  13. 13

    Solar irradiance forecast using aerosols measurements: A data driven approach by Alfadda, Abdullah, Rahman, Saifur, Pipattanasomporn, Manisa

    Published in Solar energy (01-08-2018)
    “…•Multiple machine learning models for (GHI/DNI/DHI) forecasting are studied.•The ground-based dust measurements improved the model accuracy significantly.•MLP…”
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  14. 14

    An energy management model to study energy and peak power savings from PV and storage in demand responsive buildings by Sehar, Fakeha, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in Applied energy (01-07-2016)
    “…•Integrated automation of DR, PV and ice storage optimizes buildings' electricity usage.•Integrated automation model enables buildings to provide grid…”
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  15. 15

    Demand management to mitigate impacts of plug-in electric vehicle fast charge in buildings with renewables by Sehar, Fakeha, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in Energy (Oxford) (01-02-2017)
    “…Plug-in electric vehicle penetration is increasing due to technical advancements and environmental concerns. Along with residential plug-in electric vehicle…”
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  16. 16

    Metaheuristic optimization algorithms to estimate statistical distribution parameters for characterizing wind speeds by Alrashidi, Musaed, Rahman, Saifur, Pipattanasomporn, Manisa

    Published in Renewable energy (01-04-2020)
    “…An accurate analysis of wind speeds is vital to justify wind energy projects. Statistical distributions can be used to characterize wind speeds through…”
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  17. 17

    Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities by Pipattanasomporn, Manisa, Kuzlu, Murat, Rahman, Saifur, Teklu, Yonael

    Published in IEEE transactions on smart grid (01-03-2014)
    “…Electrical power consumption data and load profiles of major household appliances are crucial elements for demand response studies. This paper discusses load…”
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  18. 18

    Heuristic Algorithms for Aggregated HVAC Control via Smart Thermostats for Regulation Service by Adhikari, Rajendra, Pipattanasomporn, Manisa, Rahman, Saifur

    Published in IEEE transactions on smart grid (01-05-2020)
    “…Residential HVAC control is a large untapped resource for providing regulation services to the grid. This paper presents a set of algorithms for controlling…”
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  19. 19

    An IoT-Based Thermal Model Learning Framework for Smart Buildings by Zhang, Xiangyu, Pipattanasomporn, Manisa, Chen, Tao, Rahman, Saifur

    Published in IEEE internet of things journal (01-01-2020)
    “…With the development of the Internet of Things (IoT) technologies, implementing intelligent controls in buildings to reduce energy consumption is becoming…”
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  20. 20

    An Algorithm for Intelligent Home Energy Management and Demand Response Analysis by Pipattanasomporn, M., Kuzlu, M., Rahman, S.

    Published in IEEE transactions on smart grid (01-12-2012)
    “…A home energy management (HEM) system is an integral part of a smart grid that can potentially enable demand response applications for residential customers…”
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