The identification of energy consumption patterns contributes for the tailoring of energy efficiency solutions. This paper contributes to this issue by addressing the characterization of electricity consumption data with 15 min sampling of twenty two households, in Lisbon. The consumers have been segmented according to: social class, contracted power, number of rooms, family size and type of ta...

Smart homes can offer significant benefits to residents. Specifically, their combination with electric vehicles (EVs) can support environmental sustainability, as they can use part of their battery to cover household consumption needs. We present a Mobility Integrated Energy Management IS artifact that supports a smart home owner’s decisions with regard to using household appliances and chargin...

Abstract Forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. This paper studies load consumption modeling in Hamedan city province distribution network by applying ESN neural network. Weather forecasting data such as minimum day temperature, average day temp...

DISSERTATION Testing Simulation and Structural Models with Applications to Energy Demand. Principal advisors: Maximilian Auffhammer (co-chair) and Michael Hanemann (co-chair). JOB MARKET PAPER " Daylight Time and Energy: Evidence from an Australian Experiment, " with R. Kellogg. Rising energy prices and environmental concerns are driving countries to consider extending Daylight Saving Time (DST...

We build a system dynamics model to evaluate the potential dynamics of consumer adoption of “Smart Energy Behaviour”. Within this term we include different levels of: i) shift in electricity consumption towards less costly-less polluting and congestioning hours; ii) the reduction of mainly wasteful electricity consumption, that maintains similar levels of comfort; iii) the enrolment in demand r...

We analyzed energy consumption by a newly constructed part of a city in Korea to forecast the LNG demand for 14 years. The electricity, heating, cooling, and hot-water demands for a cogeneration-based CES (Community Energy System) accommodating 86,000 people in 29,000 houses are estimated using load models developed through direct measurements and statistical surveys. Based on published occupan...