Results 51 to 60 of about 1,417 (179)
, 2022 Today almost everything we do in our everyday life is datafied and fed into an algorithm, i.e. reduced to an input that recursive computational systems process and transform into behavioural models. How algorithms sort, classify and propose contents have a striking impact on how people make sense of the world and derive their sense of self.
Risi, Elisabetta, Pronzato, Riccardo
openaire +2 more sources
Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering
Global Policy, EarlyView.ABSTRACT Foreign information manipulation and interference (FIMI) campaigns on social media are currently both more accessible and more impactful than the North Atlantic Treaty Organization's (NATO) or European Union's (EU), offering their opponents superiority and efficiency on those platforms.
Michelangelo Conoscenti
wiley +1 more source
Forecast Method of Distributed Photovoltaic Power Generation Based on EM-WS-CNN Neural Networks
Frontiers in Energy Research, 2022 In order to cope with the challenges of dispatching of power grids brought by large-scale distributed photovoltaic power generation related to production and consumers, a maximum expected sample weighted convolutional neural network (EM-WS-CNN) is ...
Ruanming Huang +4 more
doaj +1 more source
Sharing the Burden: How Corporatism Shapes the Division of Environmental Tax Revenue
Regulation &Governance, EarlyView.ABSTRACT This comparative study spanning more than two decades examines how corporatist institutions shape the distribution of environmental tax revenue between producers and consumers. Environmental taxes have become a key policy instrument for addressing climate change and other environmental problems, but their effectiveness and political viability ...
Pär Dalén
wiley +1 more source
EnergiesThis article proposes a modular system for prosumer installations composed of photovoltaic (PV) panels and energy storage (ES) integrated with the low voltage (LV) network through a common 4-wire AC/DC inverter.
Paweł Kelm +2 more
doaj +1 more source
Beyond the Ban—Shedding Light on Smallholders' Price Vulnerability in Indonesia's Palm Oil Industry
Applied Economic Perspectives and Policy, Volume 48, Issue 3, Page 653-678, July 2026.ABSTRACT The Indonesian government imposed a palm oil export ban in April 2022 to address rising cooking oil prices. This study explores oil palm smallholders' vulnerability to the policy using descriptive statistics, Lasso, and post‐Lasso OLS regressions.
Charlotte‐Elena Reich +3 more
wiley +1 more source
Journal of Community Psychology, Volume 54, Issue 5, July 2026.ABSTRACT This study investigated psychosocial profiles of potential renewable energy community (REC) participants in Italy, examining how individual‐level, community‐level, and societal‐level factors combine to shape participation intentions. Latent Profile Analysis identified distinct profiles among Italian citizens (N = 580) using 11 indicators: Pro ...
Evelyn De Simone +8 more
wiley +1 more source
Mean Field Games on Prosumers [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 AbstractIn the realm of dynamic demand, prosumers are agents that can produce and consume goods. In this paper, the problem we address involves a large population of prosumers and each prosumer has to decide if (s)he wants to produce or consume a certain amount of goods. The strategy of each agent depends on the average behavior of the population.
Wouter Baar, Dario Bauso
openaire +4 more sources
Limnology and Oceanography, Volume 71, Issue 7, July 2026.Abstract Numerous abandoned wells in the North Sea may provide gas, particularly methane (CH4), migration pathways by penetrating shallow, biogenic gas accumulations. However, related sampling campaigns have been largely contradictory and lack a substantial database. Research cruise MSM98 targeted the abandoned wells B18‐1, DOK 1‐X, B11‐2, THOR and D‐1
Katja U. Heeschen +4 more
wiley +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
Energy Internet, Volume 3, Issue 2, Page 97-110, July 2026.ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source