An assessment of Incentive Regulation in electricity networks: The story so far

Cahier de recherche EDDEN ; n° 9/2013Network regulation is playing an active role in a context of restructuring energy systems for long term transition to a smart grid. Regulation of network companies' activities should consider both cost efficiency objectives and other objectives such as quality and network innovation. It is in this context that incentive regulation tools are discussed and assessed in this paper. The aim is to show their key features and how they could be aligned with the main regulation goals. This paper concludes that they should be considered as complementary tools to address conflicting regulatory aspects in an efficient manner

A game theoretic model for generation capacity adequacy in electricity markets: A comparison between investment incentive mechanisms

Working Paper GATE 2009-05In this paper we study the problem of long-term capacity adequacy in electricity markets. We implement a dynamic model in which operators compete for investment and electricity production under imperfect Cournot competition. The main aim of this work is tocompare three investment incentive mechanisms: reliability options, forward capacity market - which are both market-based - and capacity payments. Apart from the oligopoly case, we also analyze collusion and monopoly cases. Stochastic dynamic programming is used to deal with the stochastic environment of the market (future demand) and mixed complementarityproblem formulation is employed to find a solution to this game. The main finding of this study is that market-based mechanisms would be the most cost-efficient mechanism for assuring long-term system adequacy and encouraging earlier and adequate new investments in the system. Moreover, generators would exert market power when introducing capacity payments. Finally, compared with a Cournot oligopoly, collusion and monopolistic situations lead to more installed capacities with market-based mechanisms and increase end-users' payments

A game theoretic model for generation capacity adequacy in electricity markets: A comparison between investment incentive mechanisms

In this paper we study the problem of long-term capacity adequacy in electricity markets. We implement a dynamic model in which operators compete for investment and electricity production under imperfect Cournot competition. The main aim of this work is tocompare three investment incentive mechanisms: reliability options, forward capacity market - which are both market-based - and capacity payments. Apart from the oligopoly case, we also analyze collusion and monopoly cases. Stochastic dynamic programming is used to deal with the stochastic environment of the market (future demand) and mixed complementarityproblem formulation is employed to find a solution to this game. The main finding of this study is that market-based mechanisms would be the most cost-efficient mechanism for assuring long-term system adequacy and encouraging earlier and adequate new investments in the system. Moreover, generators would exert market power when introducing capacity payments. Finally, compared with a Cournot oligopoly, collusion and monopolistic situations lead to more installed capacities with market-based mechanisms and increase end-users' payments.Electricity markets; capacity adequacy; dynamic programming; Nash-Cournot model; mixed complementarity problem

Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images

Detecting COVID-19 patients using Computed Tomography (CT) images of the lungs is an active area of research. Datasets of CT images from COVID-19 patients are becoming available. Deep learning (DL) solutions and in particular Convolutional Neural Networks (CNN) have achieved impressive results for the classification of COVID-19 CT images, but only when the training and testing take place within the same dataset. Work on the cross-dataset problem is still limited and the achieved results are low. Our work tackles the cross-dataset problem through a Domain Adaptation (DA) technique with deep learning. Our proposed solution, COVID19-DANet, is based on pre-trained CNN backbone for feature extraction. For this task, we select the pre-trained Efficientnet-B3 CNN because it has achieved impressive classification accuracy in previous work. The backbone CNN is followed by a prototypical layer which is a concept borrowed from prototypical networks in few-shot learning (FSL). It computes a cosine distance between given samples and the class prototypes and then converts them to class probabilities using the Softmax function. To train the COVID19-DANet model, we propose a combined loss function that is composed of the standard cross-entropy loss for class discrimination and another entropy loss computed over the unlabelled target set only. This so-called unlabelled target entropy loss is minimized and maximized in an alternative fashion, to reach the two objectives of class discrimination and domain invariance. COVID19-DANet is tested under four cross-dataset scenarios using the SARS-CoV-2-CT and COVID19-CT datasets and has achieved encouraging results compared to recent work in the literature.Comment: 31 pages, 15 figure

Implementasi Robotic Process Automation dan Analisis Biaya-Manfaat di Bank SASA

RPA merupakan inovasi dari Bank SASA untuk transformasi digital. Tujuan utamanya adalah efisiensi dan memitigasi risiko bagi bank karena sebagian besar transaksi perbankan adalah pekerjaan yang berulang dan memiliki volume transaksi yang besar. Penelitian ini bertujuan untuk mengimplementasikan RPA secara end-to-end pada suatu proses di Direktorat Operasional, yang proyeknya dinamakan Klaim Asuransi. keterlambatan pencairan dana dari perusahaan asuransi adalah latar belakang dari proses otomatisasi tersebut. Penulis menggunakan alat problem tree untuk menganalisis dan menemukan sebab-akibat masalah. Analisis ini menghasilkan 12 penyebab keterlambatan proses Klaim Asuransi. Salah satu solusinya adalah mengotomatisasi proses dengan menggunakan RPA. Penulis menggunakan perangkat RPA bernama Kofax Kapow. Terdapat beberapa langkah yang diperlukan dalam mengimplementasikan RPA. Dimulai dengan tinjauan umum mengenai proses saat ini, kemudian menghitung biaya dan manfaat proyek. Hasil penelitian menunjukkan bahwa SASA akan mengalami kerugian dalam dua tahun pertama, namun berubah menjadi laba untuk tiga tahun berikutnya. Penulis menggunakan proyeksi lima tahun, menghasilkan 28,6 juta keuntungan setelah lima tahun. Kemudian melakukan tinjauan lebih lanjut dan simulasi mengenai proses saat ini untuk menganalisis dan merancang proses baru jika robot menggantikan manusia. Langkah terakhir sebelum implementasi adalah pengembangan dan pengujian robot. Ada empat kasus tes positif dan tiga kasus tes negatif yang berhasil diuji

An analytical approach for elasticity of demand activation with demand response mechanisms

The aim of this work is to demonstrate analytically under what conditions activating elasticity of demand of consumers could be beneficial for the social welfare. It has added to the literature on analyzing the use of price signals in eliciting demand response by an analytical approach. We develop so an analytical Nash model to quantify the effect of implementing demand response, via price signals, on social welfare and energy exchanges. A prior results show that the trade-off between producing locally and exporting energy depends on the opportunity cost of the energy and the global efficiency of the generation technology. Results are moreover impacted by the degree of integration between the countries. The novelty of this research is the demonstration of the existence of an optimal region of price signal for which demand response leads to increase the social welfare. This optimality region is negatively correlated to the degree of competitiveness of the generation technologies and to the market size of the system. We particularly notice that the value of un-served energy or energy reduction the producers could lose from such demand response program would limit the effectiveness of its implementation. This constraint is strengthened when energy exchanges between countries are limited. Finally, we demonstrate that when we only consider the impact in term of consumers' surplus, more aggressive DR could be adopted. The intensity of DR program is however negatively correlated to the degree of the elasticity of demand

Analysis of Users' Behaviour and Adoption Trends of Social Media Payment Platforms

The recent proliferation of Electronic Commerce (E-commerce) has been further escalated by multifaceted emerging payment solutions such as cryptocurrencies, mobile, peer-to-peer (P2P) and social media payment platforms. While these technological advancements are gaining tremendous popularity, mostly for their ease of use, various impediments such as security and privacy concerns, societal and cultural norms etc. forbear the users' adoption trends to some extents. This article examines the current status of the social media payment platforms as well as the projection of future adoption trends. Our research underlines the motivations and obstacles to the adoption of social media platforms

PENGUJIAN MONDAY EFFECT PADA BURSA EFEK INDONESIA DAN BURSA EFEK SINGAPURA

The study attempts to examine the influence of Monday effect on stock return. The Monday effect is an example of a seasonal anomaly that is when the stock return is significantly negative on Monday. The variable used is the return index. The population in this study is the IndonesianStock Exchange and the Singapore Stock Exchange. The samples used were LQ45 and the Straits Times Index (STI) in the period January 2010 - December 2012. Statistical methods were used to test the hypothesis covering ANOVA, multiple regression, linear regression. First, it can be concluded that there is no effect on the phenomenon Monday LQ45 and STI during the period 2010-2012. Second, it can also be concluded that the returns on Monday in LQ45 and STI are not concentrated at week 4 and week 5 during the period 2010-2012. The third results in this study it can be concluded that the LQ45 index returns and STI on Monday systematically unpredictable based on market conditions Friday the previous week during the period 2010-2012

An Examination of Islamic Family Law in Kampar Regency, Riau: Focusing on the Causes and Prevalence of Divorce in the Community

Marriage is the union of a male and a female to establish a harmonious household, which is a natural inclination of human beings to form partnerships. However, empirical evidence in the field contradicts this notion, since it observes numerous conflicts inside households, sometimes even leading to divorce. Kampa sub-district, located within the Kampar district, recorded a total of 9 divorce cases in the year 2021. The objective of this study is to elucidate the factors contributing to talak divorce in Kampa District and to examine the significance of divorce for those who initiate talak divorce in Kampa District. This study is a sociological investigation that specifically examines the factors contributing to divorce and divorce rates among the residents of Kampa District, Kampar Regency in 2021, with a particular emphasis on the application of Islamic family law. The data collection methods employed were interviews and document analysis. The research findings indicate that the variables contributing to divorce in Kampa District, Kampar Regency include economic circumstances, infidelity, domestic abuse, and educational background. Regarding the significance of divorce for individuals, there are two distinct forms: the notion of liberation and a means of resolving difficulties. In the realm of Islamic family law, divorce is not encouraged, although it is regarded as a viable solution if the household cannot be sustained

Viability of flax particles to develop cellular construction materials: Physico-mechanical characterisation

The problems related to environmental issues have motivated extensive research on environmentally friendly materials. The built environment is responsible for high primary energy use and more of energy related CO2 emissions. However, it is important to develop low-embodied energy, carbon-negative, sustainable construction materials to replace conventional products. In this context, agricultural wastes are the excellent alternative materials to substitute mineral aggregates because they are widespread and easily accessible. The application of these elements is interesting as regards the recycling of the vegetable particles, since these are easily available and renewable low-cost raw materials, and has advantage for economy and environment. However, the reduction of energy consumption in construction, production of thermal insulation materials, and the solution of environmental problems by recycling waste are becoming greater problems. Various types of agriculture waste, after being processed, have been used as particles in concrete or mortars. These materials display lower density and have several potential applications such as acoustic and thermal insulation, fire resistance cladding…etc. The study reported in this paper was undertaken to investigate the physico-mechanical properties of cellular materials based on flax particles, in order to produce usable materials in cellular concrete applications. The material produced containing different volumes of flax particles (0V (control mortar), 1V, and 2V) was lightened by creating a porous structure in the matrix through a chemical reaction between aluminium powder and free lime. A study conducted on hardened material properties has indicated a significant reduction in sample unit weight, thereby resulting in a level of compressive strength compatible with a load-bearing wall. The reduction in flexural strength was lower than that in compressive strength. These results shown that the cellular material based on flax particles can be used as suitable insulated load-bearing walls