ANN-Based LMP forecasting in a distribution network with large penetration of DG

In recent years, power systems have experienced many changes in their paradigm. The introduction of new players in the management of distributed generation leads to the decentralization of control and decision-making, so that each player is able to play in the market environment. In the new context, it will be very relevant that aggregator players allow midsize, small and micro players to act in a competitive environment. In order to achieve their objectives, virtual power players and single players are required to optimize their energy resource management process. To achieve this, it is essential to have financial resources capable of providing access to appropriate decision support tools. As small players have difficulties in having access to such tools, it is necessary that these players can benefit from alternative methodologies to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), and intended to support smaller players. In this case the present methodology uses a training set that is created using energy resource scheduling solutions obtained using a mixed-integer linear programming (MIP) approach as the reference optimization methodology. The trained network is used to obtain locational marginal prices in a distribution network. The main goal of the paper is to verify the accuracy of the ANN based approach. Moreover, the use of a single ANN is compared with the use of two or more ANN to forecast the locational marginal price.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

Contextual intelligent load management with ANN adaptive learning module

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

ANN based day-ahead spinning reserve forecast for electricity market simulation

Electricity market players operating in a liberalized environment require adequate decision support tools, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. This paper deals with short-term predication of day-ahead spinning reserve (SR) requirement that helps the ISO to make effective and timely decisions. Based on these forecasted information, market participants can use strategic bidding for day-ahead SR market. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.

ANN based day-ahead ancillary services forecast for electricity market simulation

Adequate decision support tools are required by electricity market players operating in a liberalized environment, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services (AS) represent a good negotiation opportunity that must be considered by market players. Based on the ancillary services forecasting, market participants can use strategic bidding for day-ahead ancillary services markets. For this reason, ancillary services market simulation is being included in MASCEM, a multi-agent based electricity market simulator that can be used by market players to test and enhance their bidding strategies. The paper presents the methodology used to undertake ancillary services forecasting, based on an Artificial Neural Network (ANN) approach. ANNs are used to day-ahead prediction of non-spinning reserve (NS), regulation-up (RU), and regulation down (RD). Spinning reserve (SR) is mentioned as past work for comparative analysis. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.

Europa nach 1945 – zur situation nach dem zweiten weltkrieg

Bevor man „Europa― als politisches Konzept in zahlreichen theoretischen Texten erörterte, ist in der deutschen Literatur der Gedanke eines vereinten Europas schon seit dem 16. Jahrhundert thematisiert worden. Im folgenden Aufsatz sollen Texte der Essayisten Ernst Jünger, Frank Thiess, Werner Bergengruen und Klaus Mann (20. Jahrhundert), in denen ihr Standpunkt bezüglich des Europa-Gedanken, d.h. ein vereintes Europa zur Zeit nach dem Zweiten Weltkrieg zum Ausdruck gebracht wird. Dabei sind hauptsächlich Gemeinsamkeiten und Differenzen zwischen den Autoren unter geistigen und historischen Gesichtspunkten zu ziehen.

Em torno da revista Junges Europa. A propaganda, a cultura e a ideologia ao serviço das relações luso-alemãs (1933-1945)

Dissertação de Mestrado em História, àrea de especialização em História Contemporânea

A organização científica do trabalho em Portugal após a II Guerra Mundial 1945-1974

As preocupações com a introdução de melhorias na eficiência do trabalho e do trabalhador têm, desde sempre, estado presentes no mundo do trabalho. Porém, a utilização de métodos científicos no seu estudo, planificação e organização surge apenas nos anos iniciais do século XX tendo como objectivo o aumento do rendimento mediante a supressão de desperdícios de tempo, esforço e materiais. Por norma, habituámo-nos a conotar de imediato o tema com as realidades de países como os Estados Unidos da América, a França, a Alemanha ou o Japão. No entanto, na verdade, estes princípios difundiram-se praticamente por todo o mundo industrializado ou em vias de industrialização, tendo sido desenvolvidas experiências interessantes também na América do Sul, na Europa Oriental ou nos países periféricos da Europa do Sul, entre os quais Portugal. De facto, em Portugal, os primeiros indícios de reflexão em torno destes princípios surgem ainda no período da I República, por via de pequenos artigos publicados em alguns periódicos da época. No entanto, é após a II Guerra Mundial que o aprofundamento dos estudos e da aplicação dos métodos de organização científica do trabalho tem a sua época de maior desenvolvimento. É, de facto, neste período que se dá início ao que podemos considerar como a «época de ouro» da organização científica do trabalho no País, durante a qual são criados organismos privados e estatais que têm por objectivo difundir estes princípios não só a nível industrial, mas também agrícola e administrativo. As lógicas da época não são alheias a esta realidade, encontrando-se a mesma enredada nas dinâmicas da assistência técnica norte-americana, da inserção de Portugal nos organismos de cooperação económica e sendo influenciada por outros impactos internacionais, bem como pela forma como todos estes elementos se relacionam com os desafios que Portugal enfrentava na época, com a procura da produtividade e com a tomada de consciência sobre a necessidade de ultrapassar as debilidades que haviam sido reveladas pela II Guerra Mundial e pelos estudos preparatórios dos Planos de Fomento. Na verdade, traçar a história da organização científica do trabalho em Portugal é traçar uma narrativa em dois planos, nos quais os impulsos externos são evidentes mas cujas dinâmicas são assumidas por uma plataforma de apoio que, no País, apostou na importância da melhoria da eficácia da indústria e da Administração Pública através da aplicação destes princípios. Encontramo-nos, assim, perante um Estado que, também por esta via, se internacionaliza e moderniza, que cresce em funções e funcionários; que é impelido a enfrentar novos desafios; que se envolve e recebe impactos de movimentos, correntes e organismos internacionais, num mundo que se torna cada vez mais interligado. São os ventos da época que sopram em Portugal pela porta deixada aberta pela decisão de «não ficar de fora». O estudo que seguidamente se apresenta irá, assim, identificar os veículos que conduziram à introdução da organização científica do trabalho no País e as dinâmicas que os enredaram e definiram a nível nacional e internacional, sem esquecer os actores, objectivos e resistências em presença.

Berlin, la Wilhelmstrasse [ministère de l'agriculture de 1919 à 1945] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 58522

Bibliorum pars : Deuteronomium, Josue, Judices, Ruth (IV, 6).

Provient de l'ancienne bibliothèque de l'église de Lyon. — Vente Dauphin de Verna.

Charles C. Chapman's birthday celebration, Fullerton, California,1932

Family portrait taken at Charles C. Chapman's birthday celebration, Fullerton, California,July 2, 1932. The group poses outside his residence on the lawn. Top row [left to right]: Arthur Irvin, Charles Wickett, Irvin Chapman, Sam Collins, Paul Williams, Grant Chapman,, Sidney Chapman, Clay McCarn, Earl Chapman's son David McDougal, Earl Chapman's son William McDougal, Earl Chapman, Harry Chapman, William Wickett Sr. Second row [left to right]: Mr. VanMeter, Mrs. Sinclair, C. C. Sinclair, John Franklin, Way Bagley, Marjorie Collins, Emma Williams, Ruth Chapman, Vesta Chapman, Inez Bagley, Grace Chapman, Bertha Chapman, Clough Chapman, Frank and Bertha Chapman's daughter Agnes McDougal [Streech], Georgiana Chapman, Thela Clough, Mrs. Earl [Ann] Chapman, Bessie Reynolds, Fred Chapman, E. B. [Bert] Reynolds. Seated [left to right]: Mrs. VanMeter, Hattie Clark, Louie Messlar, Charlie Thamer, Louella Thamer, Dolla Harris, Stanley Chapman Sr. holding Mary Anne, Ethel Wickett, Charles C. Chapman, Clara Chapman, Colum C. Chapman, Aunt Annie Colum, Deryth Chapman, Anna Marie Chapman, Floy Chapman, Edith Chapman. Front row [left to right]: Sam E. Collins, Bill Wickett Jr., Joyce Chapman, Marilyn Chapman, Elizabeth Chapman, Mary McCarn, Nina Chapman Lescher, Jodeane Collins, Bob Gibb, Jean Chapman. In front is a floral arrangement with drawing of a Western Union telegram "To Chas. C. Chapman, July 2, 1932, N. Fullerton, Cal., 'Wishing you a happy birthday, Nina."