Sökning: "ENTSO-E"
Visar resultat 1 - 5 av 18 uppsatser innehållade ordet ENTSO-E.
1. Battery Powered Adaptive Grow Light System Aiming at Minimizing Cost and Environmental Impact from Electricity Use
Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Sammanfattning : With increasing popularity of indoor farming, more and more home growers are faced with sub-optimal lighting conditions in northern countries or poorly lit windows. We have designed and built a proof-of-concept system capable of reducing electricity cost and CO2 footprint of the electricity used for consumer grade grow lights without adversely impacting the grow cycle of the plant. LÄS MER
2. Study of value factors as a metric for Swedish electricity
Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : The Swedish electricity market was historically based on predictable and controllable power plants. The introduction variable renewable energy (VRE) sources in the market have led to less predictability and larger short-term variations in the generation profiles. LÄS MER
3. Short-Term electricity consumption prediction: Elområde 4, Sweden
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This Thesis work is part of course work for the Masters Program in Data Science at LTU. The focus of this work is mainly to review the literature published to identify state-of-art methodologies applied to predict short-term electricity consumption. LÄS MER
4. Evaluation of Net Transfer Capacity Reductions in the Nordic Power System
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The day-ahead dispatch of the Nordic power system is managed by the common electricity market Elspot, operated by Nordpool. Elspot is an area-based market and takes as input the net transfer capacity (NTC) between the price areas. LÄS MER
5. Open Source Model of the Nordic Power System for EU Project Spine
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Decision problems in operation and planning of power systems often rely on large-scale models and data sets. Lack of historical power flow data due to regulatory restrictions often limits researchers to study the system with aggregated network models. LÄS MER