Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

Renewable energy from wind and solar resources can contribute significantly to the
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …

The increasing awareness of climate change and human capital issues is shifting
companies towards aspects other than traditional financial earnings. In particular, the …

Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Short term electricity load forecasting is one of the most important issue for all market
participants. Short term electricity load is affected by natural and social factors, which makes …

This paper reviews the system components, modeling, and control of microgrids for future
smart buildings in current literature. Microgrids are increasingly widely studied due to their …

Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …

Mini/microgrids are a potential solution being studied for future systems relying on
distributed generation. Given the distributed topology of the emerging smart grid systems …

This paper introduces an Unmanned Aerial Vehicle (UAV) heterogeneous fleet routing
problem, dealing with vehicles limited autonomy by considering multiple charging stations …