A series of weaknesses in creativity, research design, and quality of writing continue to
handicap energy social science. Many studies ask uninteresting research questions, make …

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

A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …

Modelling the economics of climate change is daunting. Many existing methodologies from
social and physical sciences need to be deployed, and new modelling techniques and ideas …

Many existing technical feasibility and modelling studies in the energy field are criticised for
their limited treatment of societal actors and socio-political dynamics, poor representation of …

Increasing renewable energy sources and innovative information and communication
systems open up new challenges and opportunities to integrate distributed generation into …

The energy demand and supply projections of the Swiss government funded by the Swiss
Federal Office of Energy and carried out by a consortium of institutes and consulting …

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual,
autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model …

Multi-agent systems (MAS) consist of multiple intelligent agents that interact to solve
problems that may be beyond the capabilities of a single agent or system. For many years …

The realisation of the smart grids and markets vision constitutes a substantial transition of
electricity systems affecting multiple stakeholders and creating various technical, social …