Tootfinder

Good questions on AI from Verity Harding: 'We should be thinking: ‘What do we want and how do we use technology?’, not ‘What technology is coming that we just have to put up with’ ... Why aren’t we harnessing the incredible power of AI to help solve the climate crisis? Why do we act as if humanity is helpless to control something it’s actively inventing?'

The role of the conservative elite in the Nazi rise to power
The conservative elite were the old ruling class and new business class in Weimar Germany.
Throughout the 1920s they became increasingly frustrated with the Weimar Republic’s continuing economic and political instability, their lack of real power and the rise of communism.
They believed that a return to authoritarian rule was the only stable future for Germany which would protect their power and money.
T…

Throwing some things out here that might be naive. Oh well. Why don't some democratically minded billionaires fight rightwing billionaires? Is it because billionaires by their very nature are all anti-democratic? I heard of one once that wasn't, but one hardly stands a chance against many with the same economic power among them. Why though would many others cede power and money to one, two, or a few? A coalition could quickly end preeminant power of a billionaire. They should.
…

💡 Light-Emitting Diodes for Energy Harvesting
#led #electronics

Light-Emitting Diodes for Energy Harvesting
Energy harvesting is gaining substantial relevance in the realm of ultra-low-power electronics and Internet-of-Things devices with limited access to classic power sources. Several harvesting approaches are available, depending on the energy source; among them, photovoltaic devices benefit from the highest energy density. However, the inclusion of a dedicated photovoltaic cell in a low-power system may result in increased costs and complexity, thus hampering economic sustainability. Conversely, …

Mark Rutte on why EU's collective economic power is superior to Russia: https://benborges.xyz/2024/02/18/mark-rutte-on.html

Prediction of Space Weather Events through Analysis of Active Region Magnetograms using Convolutional Neural Network
Shlesh Sakpal
https://arxiv.org/abs/2405.02545

Prediction of Space Weather Events through Analysis of Active Region Magnetograms using Convolutional Neural Network
Although space weather events may not directly affect human life, they have the potential to inflict significant harm upon our communities. Harmful space weather events can trigger atmospheric changes that result in physical and economic damages on a global scale. In 1989, Earth experienced the effects of a powerful geomagnetic storm that caused satellites to malfunction, while triggering power blackouts in Canada, along with electricity disturbances in the United States and Europe. With the so…

Throwing some things out here that might be naive. Oh well. Why don't some democratically minded billionaires fight rightwing billionaires? Is it because billionaires by their very nature are all anti-democratic? I heard of one once that wasn't, but one hardly stands a chance against many with the same economic power among them. Why though would many others cede power and money to one, two, or a few? A coalition could quickly end preeminant power of a billionaire. They should.
…

There was a period during the industrialization where people fought against the machines — as there was no underlying theory or class consciousness answering why their working conditions were so abhorrent, people thought the problem was the machine, not capitalists who built them.
You may laugh at that, but just remember how many people think getting “replaced by an AI” is a real threat caused by technological development, not our economic system and the people that power it.

💡 Light-Emitting Diodes for Energy Harvesting
#led #electronics

Light-Emitting Diodes for Energy Harvesting
Energy harvesting is gaining substantial relevance in the realm of ultra-low-power electronics and Internet-of-Things devices with limited access to classic power sources. Several harvesting approaches are available, depending on the energy source; among them, photovoltaic devices benefit from the highest energy density. However, the inclusion of a dedicated photovoltaic cell in a low-power system may result in increased costs and complexity, thus hampering economic sustainability. Conversely, …

When Economics and Great-Power Foreign Policy Collide
Dale C. Copeland’s new history of commerce, "A World Safe for Commerce: American Foreign Policy From the Revolution to the Rise of China"
In a democracy, competing voices theoretically act as a counterweight to any one economic interest, But in an oligarchy, they might not.
For many liberal democracies, the bargain between governments and people means that what is most prioritized is not specifically trade, but …

A World Safe for Commerce: Dale C. Copeland’s Economic History of the United States
Dale C. Copeland’s new history of commerce is magisterial—and prescient.

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
A. Riccardi, L. Laurenti, B. De Schutter
https://arxiv.org/abs/2403.14372

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
The European Economic Area Electricity Network Benchmark (EEA-ENB) is a multi-area power system representing the European network of transmission systems for electricity to facilitate the application of distributed control techniques. In the EEA-ENB we consider the Load Frequency Control (LFC) problem in the presence of renewable energy sources (RESs), and energy storage systems (ESSs). RESs are known to cause instability in power networks due to their inertia-less and intermittent characterist…

I'm extremely proud of the achievements of my @… colleagues in the China team. By 2025, all #EV charging tariffs in 🇨🇳 China will be time-varying and EV users will benefit from further rewards, aligning user & grid benefits …

The Crux Alliance February update - Crux Alliance
Climate policy progress from around the globe

Surpassing legacy approaches and human intelligence with hybrid single- and multi-objective Reinforcement Learning-based optimization and interpretable AI to enable the economic operation of the US nuclear fleet
Paul Seurin, Koroush Shirvan
https://arxiv.org/abs/2402.11040

Surpassing legacy approaches and human intelligence with hybrid single- and multi-objective Reinforcement Learning-based optimization and interpretable AI to enable the economic operation of the US nuclear fleet
The nuclear sector represents the primary source of carbon-free energy in the United States. Nevertheless, existing nuclear power plants face the threat of early shutdowns due to their inability to compete economically against alternatives such as gas power plants. Optimizing the fuel cycle cost through the optimization of core loading patterns is one approach to addressing this lack of competitiveness. However, this optimization task involves multiple objectives and constraints, resulting in a…

Locational Scenario-based Pricing in a Bilateral Distribution Energy Market under Uncertainty
Hien Thanh Doan, Minsoo Kim, Keunju Song, Hongseok Kim
https://arxiv.org/abs/2403.08827

Locational Scenario-based Pricing in a Bilateral Distribution Energy Market under Uncertainty
In recent years, there has been a significant focus on advancing the next generation of power systems. Despite these efforts, persistent challenges revolve around addressing the operational impact of uncertainty on predicted data, especially concerning economic dispatch and optimal power flow. To tackle these challenges, we introduce a stochastic day-ahead scheduling approach for a community. This method involves iterative improvements in economic dispatch and optimal power flow, aiming to mini…

This https://arxiv.org/abs/2107.11246 has been replaced.
link: https://scholar.google.com/scholar?q=a

Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties
This paper incorporates a continuous-type network flexibility into chance constrained economic dispatch (CCED). In the proposed model, both power generations and line susceptances are continuous variables to minimize the expected generation cost and guarantee a low probability of constraint violation in terms of generations and line flows under renewable uncertainties. From the analytical form of CCED, we figure out the mechanism of network flexibility against uncertainties -- while renewable u…

Renewable Technologies: Advantages, Disadvantages and Strategic Policies
Hamid Zakernezhad, Ali Soleimani, Milad Mohabbati
https://arxiv.org/abs/2404.16073

Renewable Technologies: Advantages, Disadvantages and Strategic Policies
This article evaluates the types of typical renewable energy technologies separately. Switching from fossil-fuel-based technology to green energies is time-consuming and requires a high investment cost. In addition, the production of energy by new technology may cause the deactivation of some power plants, which will result in unemployment and negative economic growth impacts. In this research, the policies of different countries have been investigated, and strategies for developing these resou…

⚛️ Russia Leverages Its Nuclear Expertise in Africa
https://oilprice.com/Alternative-Energy/Nuclear-Power/Russia-Leverages-Its-Nuclear-Expertise-in-Africa.html

Russia Leverages Its Nuclear Expertise in Africa
Despite Western sanctions, Russia is leveraging its nuclear expertise to forge economic alliances in Africa, capitalizing on the continent's energy needs and ambitions for clean energy development.

This https://arxiv.org/abs/2403.14372 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area
The European Economic Area Electricity Network Benchmark (EEA-ENB) is a multi-area power system representing the European network of transmission systems for electricity to facilitate the application of distributed control techniques. In the EEA-ENB we consider the Load Frequency Control (LFC) problem in the presence of renewable energy sources (RESs), and energy storage systems (ESSs). RESs are known to cause instability in power networks due to their inertia-less and intermittent characterist…

Fukushima Nuclear Wastewater Discharge: An Evolutionary Game Theory Approach to International and Domestic Interaction and Strategic Decision-Making
Mingyang Li, Han Pengsihua, Songqing Zhao, Zejun Wang, Limin Yang, Weian Liu
https://arxiv.org/abs/2402.07210

Fukushima Nuclear Wastewater Discharge: An Evolutionary Game Theory Approach to International and Domestic Interaction and Strategic Decision-Making
On August 24, 2023, Japan controversially decided to discharge nuclear wastewater from the Fukushima Daiichi Nuclear Power Plant into the ocean, sparking intense domestic and global debates. This study uses evolutionary game theory to analyze the strategic dynamics between Japan, other countries, and the Japan Fisheries Association. By incorporating economic, legal, international aid, and environmental factors, the research identifies three evolutionarily stable strategies, analyzing them via n…

This https://arxiv.org/abs/2404.10520 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating partial PMU placement that can ensure system observability with minimal units. One consequence of this economic approach is increased system vulnerability to False Data Injection Attacks (FDIAs). This paper proposes a zero-sum game-based approach to strategically place an additional PMU (following the…

This https://arxiv.org/abs/2404.10520 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating partial PMU placement that can ensure system observability with minimal units. One consequence of this economic approach is increased system vulnerability to False Data Injection Attacks (FDIAs). This paper proposes a zero-sum game-based approach to strategically place an additional PMU (following the…

A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
Sajjad Maleki, Subhash Lakshminarayana, E. Veronica Belmega, Carsten Maple
https://arxiv.org/abs/2404.10520

A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating partial PMU placement that can ensure system observability with minimal units. One consequence of this economic approach is increased system vulnerability to False Data Injection Attacks (FDIAs). This paper proposes a zero-sum game-based approach to strategically place an additional PMU (following the…

Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach
Zhengcheng Wang, Fei Teng, Yanzhen Zhou, Qinglai Guo, Hongbin Sun
https://arxiv.org/abs/2402.09263

Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach
Transient stability-constrained preventive redispatch plays a crucial role in ensuring power system security and stability. Since redispatch strategies need to simultaneously satisfy complex transient constraints and the economic need, model-based formulation and optimization become extremely challenging. In addition, the increasing uncertainty and variability introduced by renewable sources start to drive the system stability consideration from deterministic to probabilistic, which further exa…