While the field of electricity price forecasting has benefited from plenty of contributions in the
last two decades, it arguably lacks a rigorous approach to evaluating new predictive …

The increasing number of distributed energy resources in the distribution grids creates the
risk of grid congestion and the high cost of grid expansion. The implementation of the …

Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed
with great interest by many researchers. When GP first appeared, it has become a popular …

The increasing digitalization of the electricity grid into a Smart Grid implies theintroduction of
an increasing number of new digital energy solutions to the energyecosystems. Digital …

The electrification of traffic is on-going in the energy transition. The number of electric
vehicles (EVs) is rapidly increasing, and manifold charging places are available. For …

In a deregulated electricity market scenario, formulation of bidding strategies and investment
decisions depends majorly on forecasting of Market Clearing Price (MCP). This research …

Tariff is the collection of extra charges that is charged for the transportation of goods and
materials from one place to another. The extra amount collected as tariff completely differs …

Forecasting electricity demand and locational marginal prices (LMPs) have become critical
components for power system security and management. Electricity Demand Forecasting …

Selv om prognoser for strømpriser har sett et mylder av foreslåtte modeller de siste tiårene,
har feltet fortsatt et begrenset antall systematiske benchmarkinger. I denne oppgaven utfører …

This paper presents a model that predicts dynamic pricing at any Electronic Vehicle
charging station and the waiting period persisting at that station. The dynamic price and the …