Publications related to When Bias Matters: An Economic Assessment of Demand Response Baselines for Residential Customers

Industry 4.0 Technologies and Customer-centricity for Digital Supply Chains

Rachel Agnès Laetitia Rosemonde Marie Lacroix

The last few years have experienced the emergence of Industry 4.0 (I4.0), ultra-customization, and the explosion of demand for ethical, fair trade, and sustainable consumption. Organizations have therefore started a digital transformation of their SCs and ...

EPFL2021

Integrating advanced discrete choice models in mixed integer linear optimization

Michel Bierlaire, Meritxell Pacheco Paneque, Bernard Gendron

In many transportation systems, a mismatch between the associated design and planning decisions and the demand is typically encountered. A tailored system is not only appealing to operators, which could have a better knowledge of their operational costs, b ...

PERGAMON-ELSEVIER SCIENCE LTD2021

Zero Defect Manufacturing Strategies and Platform for Smart Factories of Industry 4.0

Dimitrios Kyritsis, Gökan May

Within the context of market globalisation, the quality of products has become a key factor for success in manufacturing industry. The growing unpredictability of demand necessitates continuous adjustments in production targets. Addressing customer needs a ...

SPRINGER-VERLAG BERLIN2019

Distributed Multi-Unit Privacy Assured Bidding (PAB) for Smart Grid Demand Response Programs

Muhammed Fatih Balli

The stringent requirement of the demand-supply equilibrium for delivering electricity has traditionally been dealt with a supply-side perspective, assuming that the demand is not alterable. With the promises of the Smart Grid, demand- side management techn ...

2018

Impacts of global warming on energy use for heating and cooling with full rebound effects in Switzerland

Philippe Thalmann, Camille Gonseth, Marc Vielle

Global warming is expected to lower the energy demand for heating, which would contribute to a decline in CO2 emissions. This effect may be offset by energy needs for additional cooling and by the impacts of households that reinvest the money they save on ...

2017

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

Colin Neil Jones, Xuan Truong Nghiem

This paper presents an approach to provide demand response services with buildings. Each building receives a normalized signal that tells it to increase or decrease its power demand, and the building is free to implement any suitable strategy to follow the ...

2017

Valuing quantity flexibility under supply chain disintermediation risk

Isik Bicer

We consider a supply chain with one supplier and one retailer in which the parties develop a quantity flexibility contract to specify the conditions of procurement activities. The contract allows the retailer to adjust the initial order quantity after the ...

Elsevier Science Bv2016

Pervasive Data Analytics for Sustainable Energy Systems

Tri Kurniawan Wijaya

With an ever growing population, global energy demand is predicted to keep increasing. Furthermore, the integration of renewable energy sources into the electricity grid (to reduce carbon emission and humanity's dependency on fossil fuels), complicates eff ...

EPFL2015

The impact of customer behavior models on revenue management systems

Shadi Sharif Azadeh

Revenue management (RM) can be considered an application of operations research in the transportation industry. For these service companies, it is a difficult task to adjust supply and demand. In order to maximize revenue, RM systems display demand behavio ...

2015

An Economic Analysis of Pervasive, Incentive-Based Demand Response

Karl Aberer, Tri Kurniawan Wijaya, Matteo Vasirani

Demand response (DR) emerges as one of the cheapest and greenest solutions to match supply and demand in the electricity sector. While DR has been focused on large and industrial consumers, pervasive implementation (by including residential consumers) is n ...

2015

Cluster-based Aggregate Forecasting for Residential Electricity Demand using Smart Meter Data

Karl Aberer, Tri Kurniawan Wijaya, Samuel François Roger Joseph Humeau, Matteo Vasirani

While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Si ...

2015

Modeling Energy and Technology Choices in Smart Regional Energy Systems

Alain Haurie, Frédéric Louis François Babonneau

This paper deals with the modeling of the long term evolution of regional energy systems in a smart city and smart grid environment. It is shown that demand response and distributed grid energy storage, driven by dynamic pricing schemes, based on locationa ...

2015

Approximation methods for large-scale spatial queueing systems

Burak Boyaci, Nikolaos Geroliminis

Different than the conventional queueing systems, in spatial queueing systems (SQS) the service rate for each customer-server pairs differs and the server that intervenes for a specific customer is not known a priori, depending on the availability of serve ...

Pergamon-Elsevier Science Ltd2015

GECN: Primary Voltage Control for Active Distribution Networks via Real-Time Demand-Response

Jean-Yves Le Boudec, Mario Paolone, Dan-Cristian Tomozei, Konstantina Christakou

Demand response (DR) has traditionally targeted peak shaving for the optimal allocation of electricity consumption on a time scale that ranges from minutes to hours. However, with the availability of advanced monitoring and communication infrastructure, th ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Privacy Enhanced Demand Response with Reputation-based Incentive Distribution

Karl Aberer, Georgios Liassas, Tri Kurniawan Wijaya, Matteo Vasirani

Demand response (DR) is a Smart Grid application that aims at managing consumption of electricity in response to supply-side signals. The exchange of sensitive information (i.e., electricity consumption data) between the consumers and the DR provider is ne ...

2014

Swiss-EnergyScope.ch: a Platform to Widely Spread Energy Literacy and Aid Decision-Making

Daniel Favrat, François Maréchal, Victor Codina Gironès, Stefano Moret

We develop an energy calculator within an online teaching platform to aid citizens and decision-makers understanding an energy system. The model, designed in order to be easily adapted to any energy system at national or regional scale, is presented and ap ...

Aidic Servizi Srl2014

Decentralized Planning of Energy Demand for the Management of Robustness and Discomfort

Karl Aberer, Matteo Vasirani

The robustness of smart grids is challenged by unpredictable power peaks or temporal demand oscillations that can cause blackouts and increase supply costs. Planning of demand can mitigate these effects and increase robustness. However, the impact on consu ...

Institute of Electrical and Electronics Engineers2014

Integrated supply-demand models for the optimization of flexible transportation systems

Bilge Atasoy

This thesis investigates methodologies for improving the demand responsiveness of transportation systems through flexibility. The methodologies propose advances both in demand and supply models having a focus on supply-demand interactions. The demand side ...

EPFL2013