One of the pressing legal questions of the energy transition is how to integrate “prosumers”, consumers who start producing electricity, in the electricity market. So far, their influence remains limited or fully absent because their role as independent market participants is barely or not facilitated as they are usually subject to regulated remuneration schemes. Blockchain technology offers changing the approach of “integration in the market” into “becoming the market” by enabling peer-to-peer transactions. Currently, transactions are facilitated by third parties, suppliers and system operators, whose main task is centrally compiling and coordinating information on loads and generation and contracting supply and distribution services. Instead, blockchain technology enables new ways of organising decentralised persons without the immediate need for one centrally connecting entity. This implies profound legal- and policy consequences. Based on information on first use cases of blockchain applications in the electricity sector, this article identifies those main policy implications for EU electricity law and thereby adds to the discussion how blockchain technology could facilitate “prosumers” to develop as independent market participants in the electricity sector from an energy law perspective.
Julia is a programming language that has gained popularity in the field of artificial intelligence (AI) and scientific computing for several reasons.
High Performance: Julia is designed to be a high-performance language, often compared to languages like C and Fortran. It achieves this performance through just-in-time (JIT) compilation, allowing it to execute code at speeds close to statically compiled languages. This makes Julia well-suited for computationally intensive AI tasks such as numerical simulations and deep learning.
Ease of Use: Julia is designed with a clean and expressive syntax that is easy to read and write. It feels similar to other high-level languages like Python, making it accessible to developers with a background in Python or other scripting languages.
Multiple Dispatch: Julia’s multiple dispatch system allows functions to be specialized on the types of all their arguments, leading to more generic and efficient code. This feature is particularly useful when dealing with complex data types and polymorphic behavior, which is common in AI and scientific computing.
Rich Ecosystem: Julia has a growing ecosystem of packages and libraries for AI and scientific computing. Libraries like Flux.jl for deep learning, MLJ.jl for machine learning, and DifferentialEquations.jl for solving differential equations make it a powerful choice for AI researchers and practitioners.
Interoperability: Julia offers excellent interoperability with other languages, such as Python, C, and Fortran. This means you can leverage existing code written in these languages and seamlessly integrate it into your Julia AI projects.
Open Source: Julia is an open-source language, which means it is freely available and has an active community of developers and users. This makes it easy to find resources, documentation, and community support for your AI projects.
Parallel and Distributed Computing: Julia has built-in support for parallel and distributed computing, making it well-suited for tasks that require scaling across multiple cores or distributed computing clusters. This is beneficial for large-scale AI projects and simulations.
Interactive Development: Julia’s REPL (Read-Eval-Print Loop) and notebook support make it an excellent choice for interactive data analysis and experimentation, which are common in AI research and development.
While Julia has many advantages for AI applications, it’s important to note that its popularity and ecosystem continue to grow, so some specialized AI libraries or tools may still be more mature in other languages like Python. Therefore, the choice of programming language should also consider the specific requirements and constraints of your AI project, as well as the availability of libraries and expertise in your development team.
ABSTRACT. Many optimization problems in power transmission networks can be formulated as polynomial problems with complex variables. A polynomial optimization problem with complex variables consists in optimizing a real-valued polynomial whose variables and coefficients are complex numbers subject to some complex polynomial equality or inequality constraints. These problems are usually directly expressed with real variables. In this work, we propose a Julia module allowing the representation of polynomial problems in their original complex formulation. This module is applied to power system optimization and its generic design enables the description of several variants of power system problems. Results for the Optimal Power Flow in Alternating Current problem and for the Preventive-Security Constrained Optimal Power Flow problem are presented.
QWERTY: This is the most common keyboard layout used in English-speaking countries. The name “QWERTY” comes from the first six letters on the top row of keys. This layout was originally designed to prevent typewriter keys from jamming by placing commonly used keys further apart.
AZERTY: This is a keyboard layout used primarily in French-speaking countries. The letters are arranged differently from QWERTY, with the A and Z keys switched, and some additional special characters included.
QWERTZ: This is a keyboard layout used primarily in German-speaking countries. It is similar to QWERTY, but with some letters rearranged and some additional special characters included.
Dvorak Simplified Keyboard: This is an alternative keyboard layout designed to increase typing speed and efficiency. It places the most commonly used letters in the home row, and the least used letters on the outer edges of the keyboard.
Colemak: This is another alternative keyboard layout designed for increased typing efficiency. It also places the most commonly used letters in the home row, but has a slightly different arrangement than Dvorak.
Unicode: This is a standard for encoding characters from a wide range of writing systems, including Latin, Cyrillic, Arabic, and Chinese, among others. It allows for the input and display of text in multiple languages and scripts on the same keyboard.
Civil and Industrial Engineering Faculty, Sapienza University of Rome, Italy
James R. Harvey & Michael A. Anthony
University of Michigan Hospitals and Health Centers, Ann Arbor, MI, USA
This paper deals with an innovative design strategy of building power systems by introducing criteria based on both the “installation approach” and the “operating approach” applying plan-do-check-act (PDCA) cycle. The In-Op design of the electrical power systems takes care of the worst cases of configurations, adequate gaps on load in selecting the rating of components, the actual mean losses to evaluate their energetic operation, and to avoid excessive gaps on the lifetime of components. With this aim, the authors suggest consideration of the thermal aging model of Arrhenius to review the actual gap on load in selecting the rating of components. In reference to IEC standards, this paper underlines in the circuits design the cable steady and transient current densities, the load current torque density as “natural” parameters that allow applying a thumb rule in the classic sizing of the cross-sectional area of circuit conductors. Microsystem criteria in power systems design allow structuring their configuration with components of smaller size to reduce radically the volume of circuit conductors with more sensitive results in the branch distribution. The authors suggest why not reconsider the series of commercial cross section areas of power cables.
This paper was presented at the IEEE Industrial Applications Society meetings in 2015 and is now available in IEEE Transactions on Industry Applications ( Volume: 54 , Issue: 1 , Jan.-Feb. 2018 ). The authors revisit the first principles of conductor ampacities and conclude by asking a question: What Innovations Without Cultural Changes?
In the United States, and most of North America, the National Fire Protection Association has the largest platform, and the longest history in electrical power engineering for buildings. In other words: the conversation about electrical safety within buildings is informed by the perspective of fire safety professionals. In Europe, not so much. The inspiration for European electrical safety is found in a shock protection.
The IEEE effectively ceded administration of building electrical safety to the NFPA and spent decades providing the platform for leading practice discovery for electrical power generation and distribution outside buildings — i.e. public utilities. In retrospect this “division of labor” roughly follows the money flows to and from manufacturers and insurance companies.
The cultural question raised in the paper is reproduced, in part, below:
“…For an actual safety program, a comparative analysis of international electrical approaches on distribution systems will facilitate an understanding of their similarities and differences and will promote the design of new equipment of high efficiency like AM Transformers and new integrated common solutions, like a new series of commercial cross section areas of the power cables efficient for reducing conductors volume in balance with the costs….”
The inquiry in this paper revisits specific terms in the Arrhenius Equation.
We collaborate closely with the IEEE Education & Healthcare Facilities Committee which meets 4 times monthly in European and American time zones. Risk managers, electrical safety inspectors, facility managers and others are welcomed to click into those teleconferences also. We expect that concepts and recommendations this paper will find their way into future revisions of US and international electrical safety codes and standards.
Abstract: The paper presents a comprehensive survey on the virtual power plant (VPP) concept. The survey covers the virtual power plant definitions, components, frame work and highlights the different techniques that can be used for VPP operation optimization. At the end of the works will be presented a virtual power plant infrastructure available on a web interface where it will be possible to control a virtual micro-grid that has acquire data from virtual smart meters which provide several load profiles for load consumption and distributed generation points.
University of Medicine, Pharmacy, Science and Technology of Târgu Mureș
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwBpic.twitter.com/GkAXrHoQ9T
