The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …

The prevalence of distributed energy resources encourages the concept of an electricity
“Prosumer (Producer and Consumer)”. This paper proposes a distributed electricity trading …

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 …

Electric power, as an efficient and clean energy, has considerable importance in industries
and human lives. Electricity price is becoming increasingly crucial for balancing electricity …

Electricity prices have rather complex features such as high volatility, high frequency,
nonlinearity, mean reversion and non-stationarity that make forecasting very difficult …

This work proposes different prediction models based on multi-block forecast engine for load
and price forecast in electricity market. Due to high correlation of load and price signals, the …

With increasing prosumers employed with flexible resources, advanced demand-side
management has become of great importance. To this end, integrating demand-side flexible …

Traditionally, short-term electricity price forecasting has been essential for utilities and
generation companies. However, the deregulation of electricity markets created a …

We present a novel approach to probabilistic electricity price forecasting which utilizes
distributional neural networks. The model structure is based on a deep neural network …