Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Hartmut Schmeck"'
Publikováno v:
Energy Informatics, Vol 3, Iss 1, Pp 1-17 (2020)
Abstract 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 be effective predicting specifi
Externí odkaz:
https://doaj.org/article/bc0150d9b21e4991a642f109cbdade3d
Autor:
Kevin Förderer, Hartmut Schmeck
Publikováno v:
Energy Informatics, Vol 2, Iss S1, Pp 1-20 (2019)
Abstract Communicating the energetic flexibility of distributed energy resources (DERs) is a key requirement for enabling explicit and targeted requests to steer their behavior. The approach presented in this paper allows the generation of load profi
Externí odkaz:
https://doaj.org/article/af111d145ef24ef28b778b0f24a514dc
Publikováno v:
Energy Informatics, Vol 1, Iss 1, Pp 1-63 (2018)
Abstract Building operating systems play an important role in monitoring energy consumption of devices and improving energy efficiency in household buildings. From this arises a need for a preferably flexible and full-featured user interface to visua
Externí odkaz:
https://doaj.org/article/88a0a41f01bd4ba49e72ad9b2e8d1cfc
Publikováno v:
Energy Informatics, Vol 1, Iss S1, Pp 73-91 (2018)
Abstract The flexibility of distributed energy resources (DERs) can be modeled in various ways. Each model that can be used for creating feasible load profiles of a DER represents a potential model for the flexibility of that particular DER. Based on
Externí odkaz:
https://doaj.org/article/b37569d3046a49d299153b11f1cdbb56
Publikováno v:
Energy Informatics, Vol 1, Iss S1, Pp 295-302 (2018)
Abstract The application of Deep Learning methodologies to Non-Intrusive Load Monitoring (NILM) gave rise to a new family of Neural NILM approaches which increasingly outperform traditional NILM approaches. In this extended abstract describing our on
Externí odkaz:
https://doaj.org/article/86e3064d139545c9a50a9da1dcae5ad7
Publikováno v:
Energy Informatics, Vol 1, Iss S1, Pp 93-113 (2018)
Abstract There has been a large number of contributions on privacy-preserving smart metering with Differential Privacy, addressing questions from actual enforcement at the smart meter to billing at the energy provider. However, exploitation is mostly
Externí odkaz:
https://doaj.org/article/a6e528b132664232858c6086e210c78f
Publikováno v:
Energies, Vol 14, Iss 15, p 4472 (2021)
Low-voltage distribution grids face new challenges through the expansion of decentralized, renewable energy generation and the electrification of the heat and mobility sectors. We present a multi-agent system consisting of the energy management syste
Externí odkaz:
https://doaj.org/article/cc2c8ca2889e4ec0adff80013474f0f5
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3665 (2020)
The German Smart Meter Gateway (SMGW) infrastructure enables digital access to metering data and distributed energy resources by external parties. There are, however, various restrictions in order to guarantee the privacy of consumers, and strong sec
Externí odkaz:
https://doaj.org/article/01d0b7d50781445ca6e34f56a416dd15
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1634 (2019)
The introduction of Smart Meter Gateways (SMGWs) to buildings and households creates new opportunities and challenges for energy management systems. While SMGWs provide interfaces for accessing recorded information and enable communication to externa
Externí odkaz:
https://doaj.org/article/a5b00ab300bf48c19bc4a1ffae0e7a55
Publikováno v:
ACM SIGEnergy Energy Informatics Review. 2:20-25
This note aims at supporting research on Building Energy Management (BEM), which addresses the active optimization of energy consumption patterns of buildings. For the practical evaluation of BEM algorithms, communication with devices in the building