Creating a Detailed Energy Breakdown from just the Monthly Electricity Bill
نویسندگان
چکیده
The first step to saving energy in the home is often to create an energy breakdown: the amount of energy used by each individual appliance in the home. Unfortunately, current techniques that produce an energy breakdown are not scalable: they require hardware to be installed in each and every home. In this paper, we propose a more scalable solution called Gemello that estimates the energy breakdown for one home by matching it with similar homes for which the breakdown is already known. This matching requires only the monthly energy bill and household characteristics such as square footage of the home and the size of the household. We evaluate this approach using 57 homes and results indicate that the accuracy of Gemello is comparable to or better than existing techniques that use sensing infrastructure in each home. The information required by Gemello is often publicly available and, as such, it can be immediately applied to many homes around the world.
منابع مشابه
How Do Customers Utilitize Real-Time Usage Feedback? Evidence from Singapore
Real-time household-level feedback has the potential to improve the efficiency of electricity consumption. This feedback allows a household to obtain a better understanding of the relationship between different electricity consuming actions and changes in its monthly electricity bill, which should improve the household’s ability to assess the costs and benefits of each additional electricity co...
متن کاملA pattern-based automated approach to building energy model calibration
Building model calibration is critical in bringing simulated energy use closer to the actual consumption. This paper presents a novel, automated model calibration approach that uses logic linking parameter tuning with bias pattern recognition to overcome some of the disadvantages associated with traditional calibration processes. The pattern-based process contains four key steps: (1) running th...
متن کاملA Multi-objective Approach to Optimal Battery Storage in The Presence of Demand Charges
We propose a multi-objective optimization algorithm for optimal energy storage by residential customers using Li-Ion batteries. Our goal is to quantify the benefits of optimal energy storage to solar customers whose electricity bills consist of both Time of Use charges ($/kWh, with different rates for on-peak and off-peak hours) and demand charges ($/kW, proportional to the peak rate of consump...
متن کاملCSEM WP 155 Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability
One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost. The concern seems to be that a customer could find itself consuming a large quantity of power on the day that prices skyrocket and thus receive a monthly bill far larger than it had budgeted for. I...
متن کاملParameters Affecting Electricity Generation by a Photovoltaic Direct Current Micro-grid Connected to Electricity Network
Paying attention to the increasing concerns of global warming, environmental crisis and energy, International research and Development has extended to sustainable energy systems.In this research,Applied method for optimizing the installation space of photovoltaic system Due to the limited space in the buildings of the country's cities, As the effect of the shadow on the efficiency of the panel,...
متن کامل