Short term electric load forecasting based on data transformation and statistical machine learning
The continuous penetration of renewable energy resources (RES) into the energy mix and
the transition of the traditional electric grid towards a more intelligent, flexible and interactive …
the transition of the traditional electric grid towards a more intelligent, flexible and interactive …
Customized normalization clustering meth-odology for consumers with heterogeneous characteristics
Catarina Ribeiroa, b, Tiago Pintoa, Zita Valec and José Baptistab, da Research Group on
Intelligent Engineering and Computing for Advanced Innovation and Development …
Intelligent Engineering and Computing for Advanced Innovation and Development …
Participation of a smart community of consumers in demand response programs
The penetration of renewable energy resources and demand response programs causes
several management issues, such as network instability. Several research projects are …
several management issues, such as network instability. Several research projects are …
House management system with real and virtual resources: Energy efficiency in residential microgrid
The reduction of the greenhouse gas emissions is a priority all around the globe. The
investment on renewable energy sources is contributing for new opportunities in the context …
investment on renewable energy sources is contributing for new opportunities in the context …
Uncertainty Costs Optimization of Residential Solar Generators Considering Intraday Markets
The uncertainty of solar generation and the bull market are unavoidable in energy dispatch.
The purpose of this research is to validate an uncertainty cost function of residential …
The purpose of this research is to validate an uncertainty cost function of residential …
Lighting consumption optimization in an office building for demand response participation
Due to daily increment of electricity demand all around the world, the use of renewable
energy resources and the methods of energy optimization are being important. Since the …
energy resources and the methods of energy optimization are being important. Since the …
Smart grid and electricity market joint simulation using complementary multi-agent platforms
This paper presents an enhanced simulation platform composed by the integration of two
distinct multi-agent based simulators. The two simulators are:(i) the Multi-Agent Simulator of …
distinct multi-agent based simulators. The two simulators are:(i) the Multi-Agent Simulator of …
Data mining for prosumers aggregation considering the self-generation
Several challenges arrive with electrical power restructuring, liberalized electricity markets
emerge, aiming to improve the system's efficiency while offering new economic solutions …
emerge, aiming to improve the system's efficiency while offering new economic solutions …
Data Mining approach for Decision Support in real data based Smart Grid scenario
The increasing use of renewable energy sources and distributed generation brought several
changes to the power system operation, with huge implications to the competitive electricity …
changes to the power system operation, with huge implications to the competitive electricity …
Energy analyzer emulation for energy management simulators
The simulation of microgrids to testing and validate energy management methodologies are
an important step to take before the massive implementation of microgrids. However …
an important step to take before the massive implementation of microgrids. However …