Consumer demand for time-of-use electricity tariffs is high, but enrolment rates may be low unless efforts are made to close the intention-action gap.

Consumer demand for time of use electricity tariffs: A systematized review of the empirical evidence

Time of Use tariffs may have different distributional effects on residential electricity consumers based on their financial position and time availability, with regional differences and household composition similarities.

Distributional effects of Time of Use tariffs based on electricity demand and time use

70% of German consumers are willing to accept time-of-use tariffs to shift electricity demand, leading to significant savings in electricity generation and avoiding up to a mid to large-sized fossil-fuel power plant.

Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand

This paper proposes a stochastic optimization approach for designing time-of-use electricity tariffs under uncertainty in price-elasticities of demand, addressing various aspects of tariff design from the regulator's perspective.

Time-of-Use Tariff Design Under Uncertainty in Price-Elasticities of Electricity Demand: A Stochastic Optimization Approach

Home batteries operating under time-dependent electricity tariffs may cause little reduction in import and export peaks at low voltage levels, potentially even increasing demand.

Time-of-use and time-of-export tariffs for home batteries: Effects on low voltage distribution networks

Time-of-use tariffs in Northern Italy lead to higher average electricity consumption and lower consumer payments, with significant load shifting for morning peaks but not evening peaks, and increased substation peak demand.

Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy

Adopting a time-of-use tariff can create a win-win situation for both producers and consumers, increasing profits and reducing peak demand.

Electricity time-of-use tariff with consumer behavior consideration

Over a third of British energy bill payers favor switching to smart time of use tariffs, but loss-aversion and electric vehicle ownership significantly influence their willingness to switch.

Are consumers willing to switch to smart time of use electricity tariffs? The importance of loss-aversion and electric vehicle ownership

The proposed multiobjective optimal tariff-making model (TOUSPT) effectively achieves residential energy conservation and peak load shaving by combining time-of-use and stepwise power tariffs.

Multiobjective Model of Time-of-Use and Stepwise Power Tariff for Residential Consumers in Regulated Power Markets

Voluntary Time-of-Use tariffs in residential electricity markets are underwhelmingly adopted due to misaligned incentives between utilities and regulators, leading to less equitable cross-subsidization than default tariffs.

Why Have Voluntary Time‐of‐Use Tariffs Fallen Short in the Residential Sector?

The proposed method effectively designs Time-of-Use tariffs for domestic customers, reducing energy costs and promoting domestic demand response through household storage batteries.

A novel time-of-use tariff design based on Gaussian Mixture Model

Under the TOU tariff, an electricity company needs less capacity for both technologies and may pay a lower average price on average than under the flat rate tariff, with no significant reduction in total demand.

Electricity Time‐of‐Use Tariff with Stochastic Demand

Households in Australia do not significantly respond to Time-Of-Use tariffs, suggesting they do not support their implementation as a default pricing policy.

Do households respond to Time-Of-Use tariffs? Evidence from Australia

Smart meter data can accurately predict residential customer demand response under time-of-use tariffs, offering a promising demand-side management opportunity for both utility companies and customers.

Predicting intra-day load profiles under time-of-use tariffs using smart meter data

This paper presents a statistical model that accurately predicts winners and losers in time-of-use electricity tariffs using historical electricity load and basic household characteristics, with potential improvements using online activity data.

Predicting winners and losers under time-of-use tariffs using smart meter data

The developed Time-of-Use tariff algorithm effectively persuades residential prosumers to change their energy behavior, reducing peak hours and grid congestion.

Development of a novel time-of-use tariff algorithm for residential prosumer price-based demand side management

Positive and negative attitudes towards time-of-use electricity tariffs, and climate change awareness significantly influence consumers' willingness to choose such tariffs in Germany.

Influence of Attitudes on Willingness to Choose Time-of-Use Electricity Tariffs in Germany. Evidence from Factor Analysis

This paper proposes a quantitative method for pre-evaluating the benefits of time-of-use tariffs on residential electric vehicle charging loads, using real-world coarse data, to guide policy-making for large-scale adoption of electric vehicles and low-carbon power grids.

Method to Pre-evaluate the benefits of Time-of-use Tariff on Residential Electric Vehicle Charging Loads

Korean residential consumers' attitudes towards electricity tariffs can be divided into three latent variables, and their preferences for Time-of-Use tariffs are discrete by group rather than continuous by individual consumer.

Analysis of Residential Consumers’ Attitudes toward Electricity Tariff and Preferences for Time-of-Use Tariff in Korea

These studies suggest that time-of-use tariffs can shift electricity demand and reduce peak loads, but their adoption and effectiveness vary based on consumer behavior, financial position, regional differences, and specific tariff designs.