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1

Peter, Crossley, Chowdhury S. P, and Knovel (Firm), eds. Microgrids and active distribution networks. London: Institution of Engineering and Technology, 2009.

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2

Zambroni de Souza, Antonio Carlos, and Bala Venkatesh, eds. Planning and Operation of Active Distribution Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90812-6.

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3

Chowdhury, S., S. P. Chowdhury, and P. Crossley. Microgrids and Active Distribution Networks. Institution of Engineering & Technology, 2009.

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4

Li, Peng, Haoran Ji, Yang Mi, Hao Yu, Yue Zhou, and Nian Liu, eds. Flexible and Active Distribution Networks. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-125-3.

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5

Chowdhury, S., S. P. Chowdhury, and P. Crossley. Microgrids and Active Distribution Networks. Institution of Engineering and Technology, 2009. http://dx.doi.org/10.1049/pbrn006e.

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6

Joos, Géza, and Christine Schwagerl. Distributed Energy Resources in Active Distribution Networks. Springer International Publishing AG, 2022.

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7

Joos, Geza, and Christine Schwagerl. Distributed Energy Resources in Active Distribution Networks. Springer International Publishing AG, 2022.

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8

Venkatesh, Bala, and Antonio Carlos Zambroni de Souza. Planning and Operation of Active Distribution Networks: Technical, Social and Environmental Aspects. Springer International Publishing AG, 2022.

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9

Shen, Feifan, Zhaoxi Liu, Wenshu Jiao, Qiuwei Wu, and Menglin Zhang. Optimal Operation of Active Distribution Networks: Congestion Management, Voltage Control and Service Restoration. Elsevier Science & Technology Books, 2024.

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10

Khan, Baseem, Josep M. Guerrero, Sanjeevikumar Padmanaban, Hassan Haes Alhelou, Om Prakash Mahela, and Sudeep Tanwar, eds. Active Electrical Distribution Network. Wiley, 2021. http://dx.doi.org/10.1002/9781119599593.

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11

Active Electrical Distribution Network. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-02169-9.

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12

Padmanaban, Sanjeevikumar, Baseem Khan, Hassan Haes Alhelou, Josep M. Guerrero, and Om P. Mahela. Active Electrical Distribution Network: A Smart Approach. Wiley & Sons, Incorporated, John, 2021.

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13

Padmanaban, Sanjeevikumar, Baseem Khan, Hassan Haes Alhelou, Josep M. Guerrero, and Om P. Mahela. Active Electrical Distribution Network: A Smart Approach. Wiley & Sons, Incorporated, John, 2021.

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14

Active Electrical Distribution Network: A Smart Approach. Wiley & Sons, Limited, John, 2021.

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15

Padmanaban, Sanjeevikumar, Baseem Khan, Hassan Haes Alhelou, Josep M. Guerrero, and Om P. Mahela. Active Electrical Distribution Network: A Smart Approach. Wiley & Sons, Incorporated, John, 2021.

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16

Rajkumar, S., Sanjeevikumar Padmanaban, Baseem Khan, Hassan Haes Alhelou, and Om Prakash Mahela. Active Electrical Distribution Network: Issues, Solution Techniques and Applications. Elsevier Science & Technology, 2022.

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17

Rajkumar, S., Sanjeevikumar Padmanaban, Hassan Haes Alhelou, Baseem khan, and Om Prakash Mahela. Active Electrical Distribution Network: Issues, Solution Techniques and Applications. Elsevier Science & Technology Books, 2022.

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18

Shrestha, Manoj K., and Richard C. Feiock. Local Government Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.22.

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Local governments frequently network with other local governments or other entities for efficient or effective delivery of local services. Networks enable local governments to discover ways to address externalities and diseconomies of scale produced by political fragmentation, functional interconnection, and uneven distribution of knowledge and resources. Local government networking can be informal or formal and bilateral or multilateral, in the form of deliberative forums or mutual aid agreements. This chapter uses the institutional collective action framework to underscore the link between problems of coordination and credibility of commitment that local governments face as they seek self-organizing solutions and the bridging and bonding networks they create in response to these problems. It then reviews the current state of scholarship in local government networks (LGNs) and shows that much progress has been made in both egocentric and whole LGN studies. Finally, it highlights important areas needing attention to advance LGN scholarship.
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19

Ashby, F. Gregory, and Fabian A. Soto. Multidimensional Signal Detection Theory. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.2.

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Multidimensional signal detection theory is a multivariate extension of signal detection theory that makes two fundamental assumptions, namely that every mental state is noisy and that every action requires a decision. The most widely studied version is known as general recognition theory (GRT). General recognition theory assumes that the percept on each trial can be modeled as a random sample from a multivariate probability distribution defined over the perceptual space. Decision bounds divide this space into regions that are each associated with a response alternative. General recognition theory rigorously defines and tests a number of important perceptual and cognitive conditions, including perceptual and decisional separability and perceptual independence. General recognition theory has been used to analyze data from identification experiments in two ways: (1) fitting and comparing models that make different assumptions about perceptual and decisional processing, and (2) testing assumptions by computing summary statistics and checking whether these satisfy certain conditions. Much has been learned recently about the neural networks that mediate the perceptual and decisional processing modeled by GRT, and this knowledge can be used to improve the design of experiments where a GRT analysis is anticipated.
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20

Gessler, Anne. Cooperatives in New Orleans. University Press of Mississippi, 2020. http://dx.doi.org/10.14325/mississippi/9781496827616.001.0001.

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Cooperatives in New Orleans: Collective Action and Urban Development intervenes in southern labor, civil rights, and social movement histories to counter the misconception that cooperatives are merely proto-political entities serving as training grounds for or as ancillary to institutionalized social justice movements critiquing capitalism and its fraught connections to gender, race, and class. To historically and theoretically anchor the book, the book examines seven neighborhood cooperatives, spanning from the 1890s to the present, whose alliances with union, consumer, and social justice activists animated successive generations of locally-informed, regional cooperative networks stimulating urban growth in New Orleans. Debating alternative forms of social organization within the city’s plethora of integrated spaces, women, people of color, and laborers blended neighborhood-based African, Caribbean, and European communal traditions with transnational cooperative principles to democratize exploitative systems of consumption, production, and exchange. From utopian socialist workers unions and Rochdale grocery stores to black liberationist theater collectives and community gardens, their cooperative businesses integrated marginalized residents into democratic governance while equally distributing profits among members.
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