18 documents found, page 1 of 2
Contextual learning for energy forecasting in buildings
Jozi, Aria; Pinto, Tiago; Vale, ZitaEnergy consumers are becoming active players in the power and energy system. However, their informed and real-time responsiveness to the variations of renewable-based generation and, consequently, energy prices, is not possible without decision support solutions. This paper proposes a novel contextual learning approach for energy forecasting, which supports the decisions of Building Energy Management Systems (B...
Forecasting Refrigerators Consumption to Support their Aggregated Participation...
Faria, Pedro; Jozi, Aria; Vale, ZitaDemand response programs have become very relevant. However, one of the important facts to have a reliable DR program is the creation of a clear and trustable perspective of the load consumption during the upcoming time periods. On another hand, the increment of the energy-based systems and different energy consuming appliances in the last decades results in larger daily energy consumption which creates the unp...
Genetic fuzzy rule-based system using MOGUL learning methodology for energy con...
Jozi, Aria; Pinto, Tiago; Praça, Isabel; Silva, Francisco; Teixeira, Brígida; Vale, ZitaThis paper presents the application of a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach (MOGUL) to forecast energy consumption. Historical data referring to the energy consumption gathered from three groups, namely lights, HVAC and electrical socket, are used to train the proposed approach and achieve forecasting results for the future. The performance of the p...
Decision Support Application for Energy Consumption Forecasting
Jozi, Aria; Pinto, Tiago; Praça, Isabel; Vale, ZitaEnergy consumption forecasting is crucial in current and future power and energy systems. With the increasing penetration of renewable energy sources, with high associated uncertainty due to the dependence on natural conditions (such as wind speed or solar intensity), the need to balance the fluctuation of generation with the flexibility from the consumer side increases considerably. In this way, significant wo...
Electricity consumption forecasting in office buildings: an artificial intellig...
Jozi, Aria; Pinto, Tiago; Marreiros, Goreti; Vale, ZitaThe rising needs for increased energy efficiency and better use of renewable energy sources bring out the necessity for improved energy management and forecasting models. Electricity consumption, in particular, is subject to large variations due to the effect of multiple variables, such as the temperature, luminosity or humidity, and of course, consumers' habits. Current forecasting models are not able to deal ...
Sistema inteligente de gestão de energia em edifícios
Jozi, AriaEnergy management systems have become one of the most significant concepts in the power energy area, due to the dependency of nowadays human’s lifestyle on electrical appliances and increment of energy demand during the past decades. From a general perspective, the total energy consumption by humans can be divided into three main economic sectors, namely industry, transportation, and buildings. Based on recent ...
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...
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambie...
Gomes, Luis; Ramos, Carlos; Jozi, Aria; Serra, Bruno; Paiva, Lucas; Vale, ZitaThis paper presents IoH (Intelligence of Home), a platform developed to test some basic intelligent behaviors in Home context. Internet of Things, ambient intelligence and context awareness approaches motivated the development of IoH. The platform involves six layers, responsible by connectivity, persistency, unification, Internet of Things integration, subsystems integration and user interface. The integrated ...
Electricity consumption forecasting in office buildings: an artificial intellig...
Jozi, Aria; Pinto, Tiago; Marreiros, Goreti; Vale, ZitaThe rising needs for increased energy efficiency and better use of renewable energy sources bring out the necessity for improved energy management and forecasting models. Electricity consumption, in particular, is subject to large variations due to the effect of multiple variables, such as the temperature, luminosity or humidity, and of course, consumers' habits. Current forecasting models are not able to deal ...
Day-ahead forecasting approach for energy consumption of an office building usi...
Jozi, Aria; Pinto, Tiago; Praça, Isabel; Vale, ZitaThis paper presents a Support Vector Machine (SVM) based approach for energy consumption forecasting. The proposed approach includes the combination of both the historic log of past consumption data and the history of contextual information. By combining variables that influence the electrical energy consumption, such as the temperature, luminosity, seasonality, with the log of consumption data, it is possible ...