In this paper, we seek to investigate heterogeneity in households' valuation of electricity contract attributes that reflect demand-side flexibility in the Swedish residential sector. Using stated preference data generated from a choice experiment, we estimate a mixed logit model in...

This paper explores demand side management (DSM) strategies, including both demand response and energy efficiency policies. The aim is to uncover what features might strengthen DSM effectiveness. We first look at key features of residential energy demand and the limits to energy indicators. We...

It is expected that the renewable share of energy generation will rise considerably in the near future. The intermittent and uncertain nature of renewable energy (RE) calls for storage and grid management technologies that can allow for increased power system flexibility. To assist policy makers...

Photovoltaic systems generate electricity around noon, when many homes are empty. Conversely, residential electricity demand peaks in the evening, when production from solar sources is impossible. Based on a randomized control trial, we assess the effectiveness of alternative demand response...

Bangladesh is a densely populated country. Only a small part of her area is electrified which covers around 18% of total population. The people who are in the electrified area are suffering from severe load shedding. A systematic load management procedure related to demand side may improve the...

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study...

Moving to a very low carbon electricity system is central to meeting the goals of UK energy policy, and indeed to the wider global challenge of tackling climate change. This will require massive investment in low carbon electricity sources. This working paper identifies four key difficulties...

We propose a joint modeling of spot electricity prices, forwards prices and other derivative prices, using recent developments in discrete time asset pricing methods based on the notions of stochastic discount factor and of compound autoregressive (or affine) stochastic processes. We show that...