Catálogo de publicaciones - libros
Título de Acceso Abierto
Big Data in Context: Big Data in Context
Parte de: SpringerBriefs in Law
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
privacy; data protection; data mining; predictive analytics
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No requiere | 2018 | Directory of Open access Books | ||
No requiere | 2018 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-319-62460-0
ISBN electrónico
978-3-319-62461-7
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2018
Cobertura temática
Tabla de contenidos
Big Data and Smart Grid
Max v. Schönfeld; Nils Wehkamp
Energy transformation is becoming digital: For several years now the EU has been pursuing the implementation of regulations for the digitalization of the energy networks. Electricity grids became more complex due to the focus on renewable energies; more efficient ways of energy management will be required: Smart Grid. The network load will be enhanced through gathering information regarding power consumption and production, as well as through automated decisions in the Smart Grid. Furthermore, the Smart Grid makes it possible to offer variable electricity rates; whereby, the price for the customer depends on the date of consumption. Legally, aspects of data protection and energy industry law play a major role. The rollout of smart meters in private households contains a substantial saving and optimization potential, and also enables the day-to-day lifecycles of households to be recorded in detail.
Pp. 93-107
Big Data on a Farm—Smart Farming
Max v. Schönfeld; Reinhard Heil; Laura Bittner
Digitization has increased in importance for the agricultural sector and is described through concepts like Smart Farming and Precision Agriculture. Due to the growing world population, an efficient use of resources is necessary for their nutrition. Technology like GPS, and, in particular, sensors are being used in field cultivation and livestock farming to undertake automatized agricultural management activities. Stakeholders, such as farmers, seed producers, machinery manufacturers, and agricultural service providers are trying to influence this process. Smart Farming and Precision Agriculture are facilitating long-term improvements in order to achieve effective environmental protection. From a legal perspective, there are issues regarding data protection and IT security. A particularly contentious issue is the question of data ownership.
Pp. 109-120