27 documents found, page 1 of 3
Selection of features in reinforcement learning applied to energy consumption f...
Ramos, Daniel; Faria, Pedro; Gomes, Luis; Campos, P.; Vale, ZitaThe management of buildings responsible for the energy storage and control can be optimized with the support of forecasting techniques. These are essential on the finding of load consumption patterns being these last involved in decisions that analyze which forecasting technique results in more accurate predictions in each context. This paper considers two forecasting methods known as artificial neural network ...
A Contextual Reinforcement Learning Approach for Electricity Consumption Foreca...
Ramos, Daniel; Faria, Pedro; Gomes, Luis; Vale, ZitaThe energy management of buildings plays a vital role in the energy sector. With that in mind, and targeting an accurate forecast of electricity consumption, in the present paper is aimed to provide decision on the best prediction algorithm for each context. It may also increase energy usage related with renewables. In this way, the identification of different contexts is an advantage that may improve predictio...
Short Time Electricity Consumption Forecast in an Industry Facility
Ramos, Daniel; Faria, Pedro; Vale, Zita; Correia, ReginaThe work in this article uses artificial neural networks and support vector machine to forecast electricity consumption in an industrial facility. The main objective is to show that such a problem should be treated with a contextual approach that identifies the most adequate technic in each moment for a single building, contrary to the previous works in the literature that compare the accuracy of each method fo...
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach
Ramos, Daniel; Teixeira, Brigida; Faria, Pedro; Gomes, Luis; Abrishambaf, Omid; Vale, ZitaThe increase in sensors in buildings and home automation bring potential information to improve buildings' energy management. One promissory field is load forecasting, where the inclusion of other sensors' data in addition to load consumption may improve the forecasting results. However, an adequate selection of sensor parameters to use as input to the load forecasting should be done. In this paper, a methodolo...
Electricity Consumption Forecast in an Industry Facility to Support Production ...
Ramos, Daniel; Faria, Pedro; Vale, Zita; Correia, ReginaThe global environmental concerns raise the need to decrease energy, namely electricity consumption. Energy consumption can be reduced by improving energy efficiency and by improving the optimization of energy management in each context. These opportunities are very relevant in buildings and industry facilities. In order to improve the optimized energy management, adequate forecasting tools are needed regarding...
Using diverse sensors in load forecasting in an office building to support ener...
Ramos, Daniel; Teixeira, Brígida; Faria, Pedro; Gomes, Luis; Abrishambaf, Omid; Vale, ZitaThe increasing penetration of renewable energy sources led to the development of several energy management approaches. One of the main topics in this field is related to the load forecast in buildings, which can contribute to more intelligent and sustainable energy consumption. However, it is necessary to build a proper forecast model, capable of detecting an accurate consumption profile. The minimum effort to ...
Industrial Facility Electricity Consumption Forecast Using Artificial Neural Ne...
Ramos, Daniel; Faria, Pedro; Vale, Zita; Mourinho, João; Correia, ReginaSociety’s concerns with electricity consumption have motivated researchers to improve on the way that energy consumption management is done. The reduction of energy consumption and the optimization of energy management are, therefore, two major aspects to be considered. Additionally, load forecast provides relevant information with the support of historical data allowing an enhanced energy management, allowing ...
Integrated Robotic and Network Simulation Method
Ramos, Daniel; Almeida, Luis; Moreno, UbirajaraThe increasing use of mobile cooperative robots in a variety of applications also implies an increasing research effort on cooperative strategies solutions, typically involving communications and control. For such research, simulation is a powerful tool to quickly test algorithms, allowing to do more exhaustive tests before implementation in a real application. However, the transition from an initial simulation...
Demonstration of an Energy Consumption Forecasting System for Energy Management...
Jozi, Aria; Ramos, Daniel; Gomes, Luis; Faria, Pedro; Pinto, Tiago; Vale, ZitaDue to the increment of the energy consumption and dependency of the nowadays lifestyle to the electrical appliances, the essential role of an energy management system in the buildings is realized more than ever. With this motivation, predicting energy consumption is very relevant to support the energy management in buildings. In this paper, the use of an energy management system supported by forecasting models...
Obrigações da Rússia na acessão à OMC
Thorstensen, Vera Helena; Müller, Carolina; Ramos, DanielA 8ª Conferência Ministerial da Organização Mundial do Comércio (OMC) aprovou, em 16 de dezembro de 2011, o pacote de acessão da Federação Russa à OMC. A partir dessa data, a Rússia terá 220 dias para ratificar o Protocolo de Acessão . A Rússia acederá formalmente à OMC 30 dias após a submissão da ratificação à Organização. Desse modo, a acessão à OMC exige negociações prévias com os membros da Organização, a f...