Abstract Smart Micro Grid in household areas aims to meet electricity needs through the
integration between state power plant with renewable energy sources so that the electricity …

Modern developments in renewable energy systems, power control systems,
telecommunication tools, storage techniques and tools, information systems, cyber security …

Although there are widely used methods as Genetic Algorithms, Fuzzy Logic and Artificial
Neural Network, the Optimization Based Tools are considered the future of the systems of …

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve
smart grids by integrating several energy forms into an extremely flexible and effective grid …

With the increase in the availability of information regarding energy use, there is an increase
of forecasting software on the energy market, that can forecast on the short, medium and …

The current electricity grid is no longer an efficient solution due to increasing user demand
for electricity, old infrastructure and reliability issues requires a transformation to a better grid …

The paper considers the problem of forecasting the peak load hours for an upcoming month
using artificial neural networks. To forecast the peak load hours, an indirect method is used …

With the substantial social and environmental change at the global level, increasing
numbers of cities worldwide have been directed their infrastructure strategies towards …

Abstract The Internet of Things is an emerging technology for the next generation of
communications and will make many complex services like smart cities easier in the future; …

When it comes to smart cities, one of the biggest issues is energy optimization. This is
because these cities employ a large number of interconnected devices to autonomously …