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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 acceso abierto
No requiere 2018 SpringerLink acceso abierto

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

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