In the face of capacity disruptions (due, for example, to traffic incidents or poor weather), information provision and congestion pricing are alternative alleviating policies. A state-dependent toll equals the state-dependent marginal external cost (MEC), which is higher if traffic condition is...

We examine heterogeneity in Norwegian households' price responses to critical peak pricing (CPP) on electricity consumption, using a large-scale randomized controlled trial (RCT), high-frequency electricity data, and default enrollment. Increasing the grid transmission charge by 4,067%...

We examine heterogeneity in Norwegian households' price responses to critical peak pricing (CPP) on electricity consumption, using a large-scale randomized controlled trial (RCT), high-frequency electricity data, and default enrollment. Increasing the grid transmission charge by 4,067%...

Abstract This is the fifth in a series of teaching notes on quality-differentiated demand. With an eye on accessibility to undergraduate econ majors, the focus here is on peak-load pricing and highway tolls. Once quality considerations are accounted for, a richer set of insights is derived to...

In the face of capacity disruptions (due, for example, to traffic incidents or poor weather), information provision and congestion pricing are alternative alleviating policies. A state-dependent toll equals the state-dependent marginal external cost (MEC), which is higher if traffic condition is...

Electric Vehicles (EV) present a unique challenge to electric power system (EPS) operations because of the potential magnitude and timing of load increases due to EV charging. Time-of-Use (TOU) electricity pricing is an established way to reduce peak system loads. It is effective at shifting the...

A.A. Walters derived a traffic flow function, and advocated toll to cure congestion. He wanted to save lives and monies, time is money, in congestion. NYC and Hong Kong have been practicing his policy for years, but surviving drivers are still tortured by congestion. Walters’ intention is...

This paper shows that differentiating driving costs by time of day and vehicle type help improve urban air quality, lower driving, and induce adoption of electric vehicles. By taking advantage of a congestion charge that imposed spatial and temporal variation in the cost of driving a...

With the ongoing rollout of smart meters in Ireland, time-of-use (ToU) tariffs are currently being introduced as a new way to pay for electricity. Such tariffs can bring important benefits to both consumers and society, in terms of reduced electricity bills and CO2 emissions, respectively. At...

The disconnect between price variability of wholesale electricity sales and the uniformity of the retail prices observed by most consumers results in well documented inefficiencies. Time-of-use (“TOU”) electricity tariffs offer a middle-ground between dynamic wholesale prices and flat retail...

The current paper illustrates the use of principal component analysis (PCA) on the congestion component of local (i.e. zonal) electricity price data to detect the most salient congestion patterns in electricity transmission grids managed by either a Regional Transmission Organization (RTO) or an...

We consider an economy in which competitive firms use three technologies for electricity production: pollutive fossils, intermittent renewables whose availability varies continuously over time, and storage. A Pigouvian tax implements the first-best solution. This is also the case for an...

In Europe, the ongoing renewable expansion and delays in the planned grid extension have intensified the discussion about an adequate electricity market design. Against this background, we jointly apply an agent-based electricity market model and an optimal power flow model to investigate the...

This paper addresses the following question: How can smart energy management system (SEMS) influence the residential electricity consumption at both individual household and national level? First, we developed an hourly optimization model for individual households. The energy cost of an...

This paper addresses the following question: How can smart energy management system (SEMS) influence the residential electricity consumption at both individual household and national level? First, we developed an hourly optimization model for individual households. The energy cost of an...

Currently, most U.S. electricity consumers pay a constant price per kWh consumed that accounts for most of their bill. Ongoing developments in the power system increase efficiency gains that can be made from exposing consumers to widely varying wholesale spot prices. Pure spot pricing is not...

The nature of electro-optical equipment in various industries and the pursuit of the goal of reducing costs demand high reliability on the part of electro-optical systems. In this respect, reliability improvement could be addressed through a reliability allocation problem. Subsystem reliability...

We consider an economy in which competitive firms use three technologies for electricity production: pollutive fossils, intermittent renewables like wind or solar, and storage. We determine optimal subsidies for renewables and storage capacities when carbon pricing is imperfect. This policy is...

This Ph.D. thesis focuses on the demand-side management in electricity markets and a new player in the market { an aggregator of exible demand. The thesis consists of three independent chapters investigating the entrance of this new player in the power markets from di erent angles: focusing on...

Peak load demand forecasting is important in building unit sectors, as climate change, technological development, and energy policies are causing an increase in peak demand. Thus, accurate peak load forecasting is a critical role in preventing a blackout or loss of energy. This paper presents a...

Walters applied a demand and supply model to collect toll for easing congestion. This paper proves that his model is a lame duck, one without a supply function. It then works out a wholesome traffic and congestion model, to offer some alternative methods to solve congestion. This paper also...