Sökning: "Electricity energy consumption"

Visar resultat 1 - 5 av 997 uppsatser innehållade orden Electricity energy consumption.

1. 1. Utredning om lönsamhet av solceller för privata hushåll

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för byggteknik (BY)

   Författare :Abdullah Al-Jadirji; [2024]
   Nyckelord :electricity consumption; electricity production; payback period; investment support; electricity bill; elförbrukning; elproduktion; återbetalningstid; investeringsstöd; elräkning;

   Sammanfattning : År 2015 fastställde FN 17 globala mål för hållbar utveckling. Delmål 7.2, en del av det sjunde målet om hållbar energi för alla, anger att den globala andelen förnybar energi behöver öka för att minska effekterna av fossila bränslen. LÄS MER

3. 2. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Azin Farzam; [2024]
   Nyckelord :Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

   Sammanfattning : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. LÄS MER

4. 3. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Klara Enerud; [2024]
   Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

   Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

5. 4. Energy efficiency and fiscal incentives : A stochastic frontier analysis of Swedish manufacturing sectors 2008-2020

   Master-uppsats, Umeå universitet/Nationalekonomi

   Författare :William Blombäck; [2024]
   Nyckelord :;

   Sammanfattning : This thesis is a case study of the Swedish manufacturing industry in which I measure how efficiently each sector uses energy (fuel and electricity) as input goods in their production processes, and how significant the impact of Sweden’s energy tax is in regard to energy efficiency. The purpose of this is to analyze energy security and preparedness for short-term demand shocks for electricity, as many ‘mega-investments’ of industrial nature are being planned in Sweden – which are predicted to require the installed capacity of Sweden’s electricity production to almost double by 2045. LÄS MER

7. 5. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Alireza Momtaz; Mohammad Befkin; [2024]
   Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER