In this paper, we present an analysis of the results of a study into wholesale (spot) electricity price forecasting utilising Neural Networks (NNs) and Support Vector Machines (SVM). Frequent regulatory changes in electricity markets and the quickly evolving market participant pricing (bidding)...

This research contributes to the ongoing discussion on functional flexibility and theoretical consistency by comparing the empirical performance of two second order flexible functional forms - the Symmetric Generalized McFadden and the Transcendental Logarithmic. It proposes an estimation...

Econometric Modeling has a wide range if applications, including economy-wide representations. This study takes on the task of finding a suitable structure to model the Venezuelan economy. It is revealed that econometric structural and computable general equilibrium models are inapplicable,...

In the context of sustainable development, environmental policy plays a fundamental role, being one of the major challenges within the EU. In this European framework, and beyond, the objectives of Romania's sustainable economic development policy include among the priority objectives the...

This paper shows that generators exercised increasing market power in the England and Wales wholesale electricity market in the second half of the 1990s despite declining market concentration. It examines whether this was consistent with static, non-cooperative oligopoly models, which are widely...

Paper replaced with revised version 02/06/09.

Residential consumers remain reluctant to choose new electricity suppliers. Even the most successful jurisdictions, four U.S. states and other countries, have had to adopt extensive consumer education procedures that serve largely to confirm that choosing electricity suppliers is daunting....

When prices are set properly, they serve as important signals to guide customers to consume the efficient quantity of a good. However, in electricity markets many consumers do not pay prices that reflect the scarcity of power. The true social cost of power varies throughout a typical day; power...

Short-term electricity price forecasting is now crucial practice in deregulated electricity markets, as it forms the basis for maximizing the profits of the market participants. In this thesis, short-term electricity prices are forecast using three different predictor schemes, Artificial Neural...

This thesis identifies the conditions under which and quantifies how much society gains from integrating demand response directly into wholesale electricity markets and the level of participation that will bring about these improvements. Furthermore, it identifies the conditions under which the...