ExLibris header image
SFX Logo
Title: Methodological Guidelines for Measuring Energy Consumption of Software Applications
Source:

Scientific Programming [1058-9244] Ardito, Luca yr:2019


Collapse list of basic services Basic
Sorry, no full text available...
Please use the document delivery service (see below)  
Holding information
Holdings in library search engine ALBERT GO
Document delivery
Request document via Library/Bibliothek GO
Users interested in this article also expressed an interest in the following:
1. Niewiadomska Szynkiewicz, E. "Control system for reducing energy consumption in backbone computer network." Concurrency and computation 25.12 (2013): 1738-1754. Link to Full Text for this item Link to SFX for this item
2. Azadeh, A. "A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran." Energy policy 36.7 (2008): 2637-2644. Link to SFX for this item
3. Newsham, Guy R. R. "The energy consumption of desktop computers: measurement andsavings potential." IEEE transactions on industry applications 30.4 (1994): 1065-1072. Link to SFX for this item
4. "Energy Consumption and Hardware Utilization of Standard Software: Methods and Measurements for Software Sustainability." From science to society : new trends in environmental informatics / 251-261. Link to SFX for this item
5. "A case study of the energy consumption of desktop computers." Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE 1218-1221. Link to SFX for this item
6. "Energy consumption.(Computers." Engineered systems. 28.8: 84-. Link to SFX for this item
7. Mirahadi, F. "Simulation-based construction productivity forecast using Neural-Network-Driven Fuzzy Reasoning." Automation in construction 65.C (2015): 102-115. Link to SFX for this item
8. Stephen, Stuart P. "Understanding and advancing campus sustainability using a systems framework." International journal of sustainability in higher education 14.3 (2013): 264-277. Link to SFX for this item
9. Ying, L. "Using adaptive network based fuzzy inference system to forecast regional electricity loads." Energy conversion and management 49.2 (2008): 205-211. Link to SFX for this item
10. Silveria, F. "Global overview of industrial energy intensity." Energy policy 36.7 (2008): 2658-2664. Link to SFX for this item
11. HARRIS, John L. "DYNAMIC STRUCTURAL-ANALYSIS AND FORECASTING OF RESIDENTIAL ELECTRICITY CONSUMPTION." International journal of forecasting 9.4 (1993): 437-455. Link to Full Text for this item Link to SFX for this item
View More...
View Less...
Select All Clear All

Expand list of advanced services Advanced