SoCal Ed's proposed 18.4% transmission ROE faces withering criticism

Kate Winston

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SoCal Ed's proposed 18.4% transmission ROE faces withering criticism

机译：SoCal Ed提出的18.4％传输ROE面临严厉批评

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Stakeholders are raising alarm about Southern California Edison’s proposal to boost the return on equity for its transmission facilities above 18% to account for potential wildfire liabilities, with commenters saying the ROE is excessive and ignores policy that the Federal Energy Regulatory Commission proposed.

机译：利益相关者对南加州爱迪生提出的将其输电设施的股本回报率提高至18％以上以解决潜在野火债务的提议感到担忧，评论员称ROE过高，并且无视联邦能源监管委员会提出的政策。

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《Platts Megawatt Daily》 |2019年第86期|6-6|共1页
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Kate Winston;
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1. SoCal Ed’s proposed 18.4% transmission ROE faces withering criticism [J] . Kate Winston Inside FERC . 2019,第MAYa13期

机译：SoCal Ed提议的传输ROE的18.4％面临严厉批评
2. SoCal Ed’s proposed 18.4% transmission ROE faces withering criticism [J] . Kate Winston Inside FERC . 2019,第May13期

机译：SoCal Ed提出18.4％的传输Roe面临突出的批评
3. Commission begins environmental review of proposed SoCal Ed power transmission line [J] . Esther Whieldon Inside FERC . 2008,第juna23期

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7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

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SoCal Ed's proposed 18.4% transmission ROE faces withering criticism

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