Citation Impact 2023
Source Normalized Impact per Paper (SNIP): 0.761
SCImago Journal Rank (SJR): 0.568
Speed 2023
Submission to first editorial decision (median days): 10
Submission to acceptance (median days): 52
Usage 2023
Downloads: 394,833
Altmetric mentions: 17
Articles
Page 5 of 8
-
Citation: Energy Informatics 2021 4(Suppl 4):26
-
Quantifying geospatial interdependencies of ICT and power system based on open data
In order to evaluate the effectiveness of innovative services and technologies spanning over the ICT-enabled power system, realistic models are required. Although nowadays there is a wide range of power system...
Citation: Energy Informatics 2021 4(Suppl 3):25 -
Data and optimization model of an industrial heat transfer station to increase energy flexibility
Nations and companies are forced to reduce CO2 emissions and decelerate global warming. In this development, the transition of the heating sector is still in its infancy despite the relatively large share of ther...
Citation: Energy Informatics 2021 4(Suppl 3):24 -
Peak load minimization of an e-bus depot: impacts of user-set conditions in optimization algorithms
The transport sector is responsible for 25% of global CO2 emissions. To reduce emissions in the EU, a shift from the currently 745,000 operating public buses to electric buses (EBs) is expected in the coming year...
Citation: Energy Informatics 2021 4(Suppl 3):23 -
Asset logging in the energy sector: a scalable blockchain-based data platform
Due to a steeply growing number of energy assets, the increasingly decentralized and segmented energy sector fuels the potential for new digital use cases. In this paper, we focus our attention on the applicat...
Citation: Energy Informatics 2021 4(Suppl 3):22 -
Towards reinforcement learning for vulnerability analysis in power-economic systems
Future smart grids can and will be subject of systematic attacks that can result in monetary costs and reduced system stability. These attacks are not necessarily malicious, but can be economically motivated a...
Citation: Energy Informatics 2021 4(Suppl 3):21 -
Active participation of industrial enterprises in electricity markets - a generic modeling approach
Industrial enterprises represent a significant portion of electricity consumers with the potential of providing demand-side energy flexibility from their production processes and on-site energy assets. Methods...
Citation: Energy Informatics 2021 4(Suppl 3):20 -
Integrated planning of grids and energy conversion units in municipal multi-energy carrier systems
The ongoing energy transition requires the planning of low-emission municipal energy supply systems. These systems comprise distribution grids for electricity, gas, and heat, as well as energy conversion units...
Citation: Energy Informatics 2021 4(Suppl 3):19 -
A practical approach to cluster validation in the energy sector
With increasing digitization, new opportunities emerge concerning the availability and use of data in the energy sector. A comprehensive literature review shows an abundance in available unsupervised clusterin...
Citation: Energy Informatics 2021 4(Suppl 3):18 -
A comprehensive study on battery electric modeling approaches based on machine learning
Battery electric modeling is a central aspect to improve the battery development process as well as to monitor battery system behavior. Besides conventional physical models, machine learning methods show great...
Citation: Energy Informatics 2021 4(Suppl 3):17 -
Quality of service and fairness for electric vehicle charging as a service
Due to the increasing battery capacity of electric vehicles, European standard electricity socket-outlets at households are not enough for a full charge cycle overnight. Hence, people tend to install (semi-) f...
Citation: Energy Informatics 2021 4(Suppl 3):16 -
Grey-box modelling of lithium-ion batteries using neural ordinary differential equations
Grey-box modelling combines physical and data-driven models to benefit from their respective advantages. Neural ordinary differential equations (NODEs) offer new possibilities for grey-box modelling, as differ...
Citation: Energy Informatics 2021 4(Suppl 3):15 -
Location and solar system parameter extraction from power measurement time series
Photovoltaic (PV) systems are considered an important pillar in the energy transition because they are usually located near the consumers. In order to provide accurate PV system models, e.g. for microgrid simu...
Citation: Energy Informatics 2021 4(Suppl 3):14 -
Comparison of short-term electrical load forecasting methods for different building types
The transformation of the energy system towards volatile renewable generation, increases the need to manage decentralized flexibilities more efficiently. For this, precise forecasting of uncontrollable electri...
Citation: Energy Informatics 2021 4(Suppl 3):13 -
Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand
To tackle the climate crisis, the European energy strategy relies on consumers taking ownership of the energy transition, accelerating decarbonisation through investments in low-carbon technologies and ensurin...
Citation: Energy Informatics 2021 4(Suppl 3):12 -
Welcome message from the organizers
Citation: Energy Informatics 2021 4(Suppl 3):11 -
AutoShare: Virtual community solar and storage for energy sharing
Residential solar installations are becoming increasingly popular among homeowners. However, renters and homeowners living in shared buildings cannot go solar as they do not own the shared spaces. Community-ow...
Citation: Energy Informatics 2021 4:10 -
Business ecosystem architecture development: a case study of Electric Vehicle home charging
Due to the complexity of business ecosystems, the architecture of business ecosystems has not been well discussed in the literature, and modeling or simulation of business ecosystems has been rarely focused. T...
Citation: Energy Informatics 2021 4:9 -
A cloud-based service-oriented architecture to unlock smart energy services
In a modern smart energy system with increased penetration of renewable energy resources, the amount of data from various sources is growing significantly. Such systems require complex algorithms and controlli...
Citation: Energy Informatics 2021 4:8 -
Reinforcement learning in local energy markets
Local energy markets (LEMs) are well suited to address the challenges of the European energy transition movement. They incite investments in renewable energy sources (RES), can improve the integration of RES i...
Citation: Energy Informatics 2021 4:7 -
A methodology for energy key performance indicators analysis
With the advent of the smart grid era, the electrical grid is becoming a complex network in which different technologies coexist to bring benefits to both customers and operators. This paper presents a methodo...
Citation: Energy Informatics 2021 4:6 -
Cybersecurity challenges in energy sector (virtual power plants) - can edge computing principles be applied to enhance security?
Distributed generators (D.G.’s) enable us to generate, supply and be self-reliant on power while also allows us to supply power to meet the demand through virtual power plants. The virtual power plants also he...
Citation: Energy Informatics 2021 4:5 -
A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability
In recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential...
Citation: Energy Informatics 2021 4:4 -
Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring
Prudent and meaningful performance evaluation of algorithms is essential for the progression of any research field. In the field of Non-Intrusive Load Monitoring (NILM), performance evaluation can be conducted...
Citation: Energy Informatics 2021 4:3 -
BuildCOM: automated auditing and continuous commissioning of next generation building management systems
A building management system (BMS) is generally defined as the ‘Brain’ of the building. Building management systems aid in improving occupant comfort and productivity and, enhance the operational efficiency of...
Citation: Energy Informatics 2021 4:2 -
PUMPNET: a deep learning approach to pump operation detection
Non-urgent high energy-consuming residential appliances, such as pool pumps, may significantly affect the peak to average ratio (PAR) of energy demand in smart grids. Effective load monitoring is an important ...
Citation: Energy Informatics 2021 4:1 -
A methodological framework for futures studies: integrating normative backcasting approaches and descriptive case study design for strategic data-driven smart sustainable city planning
Originally proposed as an alternative to traditional energy planning methodology in the 1970s, backcasting is increasingly applied in futures studies related to sustainability, as it is viewed as a natural ste...
Citation: Energy Informatics 2020 3:31 -
powerLang: a probabilistic attack simulation language for the power domain
Cyber-attacks on power-related IT and OT infrastructures can have disastrous consequences for individuals, regions, as well as whole nations. In order to respond to these threats, the cyber security assessment...
Citation: Energy Informatics 2020 3:30 -
Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism
The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a ...
Citation: Energy Informatics 2020 3:29 -
Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data
Power system operation increasingly relies on numerous day-ahead forecasts of local, disaggregated loads such as single buildings, microgrids and small distribution system areas. Various data-driven models can...
Citation: Energy Informatics 2020 3:28 -
Abstracts from the 9th DACH+ Conference on Energy Informatics
Citation: Energy Informatics 2020 3(Suppl 2):27 -
Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder
Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential ...
Citation: Energy Informatics 2020 3(Suppl 1):26 -
Non intrusive load monitoring for demand side management
In the context of a pilot project, the Lugaggia Innovation Community (LIC), we address the problem of non-intrusive load monitoring for the purpose of demand side management on low voltage grids in presence of...
Citation: Energy Informatics 2020 3(Suppl 1):25 -
Evaluating different machine learning techniques as surrogate for low voltage grids
The transition of the power grid requires new technologies and methodologies, which can only be developed and tested in simulations. Especially larger simulation setups with many levels of detail can become qu...
Citation: Energy Informatics 2020 3(Suppl 1):24 -
Flexibility quantification in households: a swiss case study
In this paper, a thorough analysis of quantification of the heating appliances’ flexibility provided by 200 households located in the Sion area (Switzerland) is presented. An extended evaluation of the availab...
Citation: Energy Informatics 2020 3(Suppl 1):23 -
An operational strategy for district heating networks: application of data-driven heat load forecasts
To face the challenges of climate change, the integration of renewable energy sources in the energy-intensive heating sector is a crucial aspect of emission reduction. For an efficient operation of coupling de...
Citation: Energy Informatics 2020 3(Suppl 1):22 -
Detection of heat pumps from smart meter and open data
Heat pumps embody solutions that heat or cool buildings effectively and sustainably, with zero emissions at the place of installation. As they pose significant load on the power grid, knowledge on their existe...
Citation: Energy Informatics 2020 3(Suppl 1):21 -
A socio-psychological modal choice approach to modelling mobility and energy demand for electric vehicles
The development of efficient electric vehicle (EV) charging infrastructure requires modelling of consumer demand at an appropriate level of detail. Since only limited information about real customers is availa...
Citation: Energy Informatics 2020 3(Suppl 1):20 -
Agent-based bidirectional charging algorithms for battery electric vehicles in renewable energy communities
This paper introduces a framework for agent based autonomous charging and discharging of Battery Electric Vehicle (BEV) at local energy communities. Agents are programmed to control the bidirectional charging ...
Citation: Energy Informatics 2020 3(Suppl 1):19 -
Trust assessment of power system states
Modern power systems are cyber-physical systems with increasing relevance and influence of information and communication technology. This influence comprises all processes, functional, and non-functional aspec...
Citation: Energy Informatics 2020 3(Suppl 1):18 -
Modeling interconnected ICT and power systems for resilience analysis
Increasing interdependencies between power and ICT systems amplify the possibility of cascading failures. Resilience against such failures is an essential property of modern and sustainable power systems and n...
Citation: Energy Informatics 2020 3(Suppl 1):17 -
State description of cyber-physical energy systems
The integration of ICT into power systems has increased the interdependencies between the two systems. The operation of power system depends on several ICT-enabled grid services which manifest the interdepende...
Citation: Energy Informatics 2020 3(Suppl 1):16 -
Comparison of approaches for intrusion detection in substations using the IEC 60870-5-104 protocol
Electrical networks of transmission system operators are mostly built up as isolated networks without access to the Internet. With the increasing popularity of smart grids, securing the communication network h...
Citation: Energy Informatics 2020 3(Suppl 1):15 -
Time-dependent electricity pricing using variable announcement horizons
In the battle against climate change, electrification plays an increasingly large role in our society. The growing use of electricity networks requires advanced coordination mechanisms to avoid the tragedy of ...
Citation: Energy Informatics 2020 3(Suppl 1):14 -
Impact of communication latency on distributed optimal power flow performance
In this work, we study the performance of a distributed optimal power flow control algorithm with respect to realistic communication quality of service. By making use of a communication network simulator, name...
Citation: Energy Informatics 2020 3(Suppl 1):13 -
Comparative study of algorithms for optimized control of industrial energy supply systems
Both rising and more volatile energy prices are strong incentives for manufacturing companies to become more energy-efficient and flexible. A promising approach is the intelligent control of Industrial Energy ...
Citation: Energy Informatics 2020 3(Suppl 1):12 -
Welcome message from the organizers
Citation: Energy Informatics 2020 3(Suppl 1):11 -
NILM-based approach for energy efficiency assessment of household appliances
This paper presents a novel Non-Intrusive Load Monitoring (NILM) approach focusing on the Energy Efficiency (EE) assessment of residential appliances. This approach (NILMEE) is able to identify the individual ...
Citation: Energy Informatics 2020 3:10 -
A feature fusion technique for improved non-intrusive load monitoring
Load identification is an essential step in Non-Intrusive Load Monitoring (NILM), a process of estimating the power consumption of individual appliances using only whole-house aggregate consumption. Such estim...
Citation: Energy Informatics 2020 3:9 -
Topological considerations on peer-to-peer energy exchange and distributed energy generation in the smart grid
The vision of the future Smart Grid considers end-users connected to it as both consuming and generating energy. Equipped with small-scale renewable energy generators and storage systems, end-users, also known...
Citation: Energy Informatics 2020 3:8
- ISSN: 2520-8942 (electronic)