Differentially Private Local Electricity Markets

Optimal combinatorial electricity markets

The deregulation of the electricity industry in many countries has created a number of marketplaces in which producers and consumers can operate in order to more effectively manage and meet their energy needs. To this end, this paper develops a new model for electricity retail where end-use customers choose their supplier from competing electricity retailers. The model is based on simultaneous ...

“ Self - Regulating Electricity Markets ? ”

An experimental structure is demonstrated that represents end-use customers in electricity markets who can substitute part of their usage between day and night. Each customer’s demand relationship is represented by a two-step value function for each period, disaggregated from observed market demand relationships, that varies between day and night and during heat-waves. Three alternative demand-...

Liberalising Electricity Markets

Introduction The EU Electricity and Gas Directives 96/92/EC and 98/30/EC were adopted in 1996 and 1998, with member countries having until February 1999 and August 2000 to incorporate their provisions into domestic legislation. At one level, the directives were the logical extension to public utilities of the principles of the single market – “the free movement of goods, persons, services and c...

PRIVATE MARKETS, CONTRACTS, AND GOVERNMENT PROVISION What Explains the Organization of Local Waste and Recycling Markets?

Differentially Private Variational Dropout

Deep neural networks with their large number of parameters are highly flexible learning systems. The high flexibility in such networks brings with some serious problems such as overfitting, and regularization is used to address this problem. A currently popular and effective regularization technique for controlling the overfitting is dropout. Often, large data collections required for neural ne...

Differentially Private Rank Aggregation

Given a collection of rankings of a set of items, rank aggregation seeks to compute a ranking that can serve as a single best representative of the collection. Rank aggregation is a well-studied problem and a number of effective algorithmic solutions have been proposed in the literature. However, when individuals are asked to contribute a ranking, they may be concerned that their personal prefe...