When there are differences in economic value of self-consumed and exported electricity, economic profitable PV installations are dependent of accurate predictions of selfconsumed electricity. In this study, minute based data of PV production and the electricity use were logged in a single family house in Sweden. It is shown that when self-consumed electricity is estimated, a low time resolution...

This paper analyses the evolution of electricity prices in deregulated market. I formulate a model that takes into account the spatial features of a network of a market. The model is applied to equilibrium electricity spot prices of the PJM market. An empirical analysis indicates that the problem of unobserved spatial correlation in the network can be modeled by the Spatial Error Model providin...

When electricity becomes deregulated the price of electricity is not determined by a regulatory authority but by market demand and supply conditions. Electricity cannot be stored and needs to be produced at the same rate at which it is produced. Thus, if any of the cheaper generating units fails a more expensive unit needs to be brought into operation in order to meet the demand. This increased...

This thesis studies electricity derivative markets from a view point of an electricity producer. The traditionally used asset pricing methods, based on the no arbitrage principle, are extended to take into account electricity specific features: the non storability of electricity and the variability in the load process. The sources of uncertainty include electricity forward curve, prices of reso...

This paper represents a complete survey on Generation Companies’ (GenCos’) optimal bidding strategy problem in restructured power markets. In this regard after an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. Considering large amount of works accomplished in this area a novel classification is implemented in order to categorize the existing d...

This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested it...

The ongoing transformation of the European energy system comes along with new challenges, notably increasing amounts of power generation from intermittent sources like wind and solar. How current objectives for emission reduction can be reached in the future and what the future power system will look like is, however, not fully clear. In particular, power plant investments in the long run and p...

Due to the limited predictability and associated uncertainty of renewable energy resources, renewable-based electricity systems are confronted with instability problems. In such power systems, implementation of Demand Response (DR) programs not only can improve the system stability but also enhances market efficiency and system reliability. By implementing cloud-based engineering systems the ut...

Electricity production accounts for around 40% of global energy-related CO2 emissions and it is expected that the electricity demand increases to twice the current level in 2050. Therefore it is necessary to invest in low-carbon thermal power plants, nuclear and renewable energy for realizing low-carbon economy. These policies may require a large amount of investment costs, and additionally, th...

We study the outcomes of experimental multi-unit uniform and discriminatory auctions with demand uncertainty. Our study is motivated by the ongoing debate about market design in the electricity industry. Our main aim is to compare the effect of asymmetric demand-information between sellers on the performance of the two auction institutions. In our baseline conditions all sellers have the same i...