E-ENERGY

Microgrids play a crucial role in the electrification of rural areas. Designing a microgrid comprises of multiple parts including finding suitable sites for generation units, sizing the components of the microdgrid, and determining the layout of the ...

Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-...

The ever-increasing uptake of distributed energy resources necessitates the introduction of local electricity markets at the residential level. Electric retailers, who are adversely affected by these changes, can make a profit by operating local trading ...

Electricity markets are cleared by a two-stage, sequential process consisting of a forward (day-ahead) market and a spot (real-time) market. While their design goal is to achieve efficiency, the lack of sufficient competition introduces many ...

Non-intrusive load monitoring (NILM) is a computational technique to allow appliance-level energy disaggregation for sustainable energy management. Most NILM models require considerable training data to capture sufficient appliance signatures for robust ...

In recent years, machine learning (ML) models have been widely developed for building systems. For example, a number of ML models have been developed to predict the load demand of a building. Current ML models commonly report snap-shot accuracy only. ...

Electrical energy consumption data contain a great wealth of information. Currently, however, only limited insights are possible into the data that are collected by millions of smart meters everyday. A major reason for this limitation is the high ...

We consider network flow congestion management modelled after electricity distribution networks. The desired consumption or production of the agents that populate such networks are determined by a higher-level (e.g. national) market mechanism, but this ...

In low-voltage distribution networks, the integration of novel energy technologies can be accelerated through advanced optimization-based analytics such as network state estimation and network-constrained dispatch engines for distributed energy ...

Energy consumption in buildings is responsible for 40 % of the final energy consumption in the European Union and the United States of America. In addition to thermal energy, buildings require electricity for all kinds of appliances. Regulatory ...

We study the market structure for emerging distribution-level energy markets with high renewable energy penetration. Renewable generation is known to be uncertain and has a close-to-zero marginal cost. In this paper, we use solar energy as an example of ...

The rapid development of carbon capture technology speeds up its industrialization and wide application with the help of massive investment. In addition to the capital market, such investment may also come from a well-designed carbon market. This paper ...

Retail energy markets are increasingly consumer-oriented, thanks to a growing number of energy plans offered by a plethora of energy suppliers, retailers and intermediaries. To maximize the benefits of competitive retail energy markets, group purchasing ...

Electricity usage is a substantial source of carbon emissions worldwide. There has been significant interest in reducing the carbon impact of energy usage through supply-side shifts to cleaner generation sources and through demand-side optimizations to ...

The development of electric vehicles (EV) is a major lever towards low carbon transportation. It comes with increasing numbers of charging infrastructures which can be smartly managed to control the CO2 cost of EV electricity consumption or used as ...

The increasing number of recorded energy time series calls for an automated operation of smart grid applications such as load forecasting and load management. While these applications require anomaly-free data to perform well, the recorded data often ...

Buildings account for more than 40% of the energy US primary energy consumption. Of all the building services, heating, ventilation, and air-conditioning (HVAC) account for almost 50% of that energy use. Despite all the resources used, many users are ...

Voltage control generally requires accurate information about the grid's topology in order to guarantee network stability. However, accurate topology identification is a challenging problem for existing methods, especially as the grid is subject to ...

Solar energy is now the cheapest form of electricity in history. Unfortunately, significantly increasing the electric grid's fraction of solar energy remains challenging due to its variability, which makes balancing electricity's supply and demand more ...

Thermal comfort, achieved by estimating the thermal sensation of occupants, has long been an important research topic. Numerous data-driven models and systems have been developed to improve the estimates of the accuracy of thermal comfort. However, many ...

Owing to their stochastic nature, Distributed Energy Resources (DERs) are more suited to participate in short-term or intraday electricity markets. The trading horizon of these markets is shorter than day-ahead markets but longer than flex/regulation ...

The existence of multiple solutions to AC optimal power flow (ACOPF) problems has been noted for decades. Existing solvers are generally successful in finding local solutions, which satisfy first and second order optimality conditions, but may not be ...

Electric power systems include discrete control elements like line switches, but are commonly modelled as continuous dynamic systems in the engineering literature. In the present paper, we combine computer science methods and engineering models in a ...

As the number of electric vehicles (EVs) increases, large-scale residential EV charging will burden the power grid, posing problems for both planning and operations. Promptly capturing EV charging events can help mitigate this problem. However, most ...

With the emergence of energy communities, where a number of prosumers invest in shared renewable generation capacity and battery storage, the issue of fair allocation of benefits and costs has become increasingly important. The Shapley value has ...

In Sub-Saharan Africa, electricity access is progressing, but electricity use for economic growth remains stagnant. Powering economies sustainably is vital to enhancing livelihoods and is particularly challenging in agriculture-led rural economies. The ...

Many fields make use nowadays of machine learning (ML) enhanced applications for cost optimization, scheduling or forecasting, including the energy sector. However, these very ML algorithms consume a significant amount of energy, sometimes going against ...

The present paper develops an Economic Model Predictive Control (EMPC) framework to provide Demand-Response (DR) for supporting the power grid stability while also maintaining Occupants' Thermal Satisfaction (OTS) in buildings. Our controller combines ...

A demand response scheme that uses direct device control to actively exploit prosumer flexibility has been identified as a key remedy to meet the challenge of increased renewable energy sources integration. Although a number of direct control-based ...

Reinforcement learning (RL) is often considered a promising approach for controlling complex building operations. In this context, RL algorithms are typically evaluated using a testing framework that simulates building operations. To make general claims ...

Online decision-making in the presence of uncertain future information is abundant in many problem domains. In the critical problem of energy generation scheduling for microgrids, one needs to decide when to switch energy supply between a cheaper local ...

The energy transition towards a fully renewables-based energy system calls for a massive deployment of photovoltaics (PV) in the low-voltage distribution grid (LVDG). I.e., PV panels have to be installed on every rooftop and perhaps even massive façade ...

This paper studies the scenario of an EV charging facility in which scheduling is used to manage the overall power consumption profile. We address the concern of a possible imbalance in the resulting 3-phase load, due to an uneven EV loading of the ...

Electric vehicle (EV) fleets, e.g., electric taxis, buses, and trucks, have been increasingly implemented in cities. Compared with internal-combustion vehicles, the operation of EV fleets requires resilient charging infrastructures. Notably, the ...

Price-responsive demand side resources can adjust their energy usage in response to time-varying price signals, which provide flexibility and promotes system reliability. In this work, we propose a novel data-driven approach that incorporates prior ...