Projects per year
Personal profile
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Hannu Reittu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
-
VaGe: Improving the value of variable and uncertain power generation in energy systems
Rinne, E., Kiviluoma, J., Holttinen, H., Miettinen, J. J., Helistö, N. & Reittu, H.
1/01/15 → 31/12/18
Project: Academy of Finland project
Research output
-
Selection of representative slices for generation expansion planning using regular decomposition
Helistö, N., Kiviluoma, J. & Reittu, H., 15 Nov 2020, In: Energy. 211, 118585.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)77 Downloads (Pure) -
Analysis of large sparse graphs using regular decomposition of graph distance matrices
Reittu, H., Leskelä, L., Fiorucci, M. & Räty, T., 22 Jan 2019, 2018 IEEE International Conference on Big Data (Big Data). IEEE Institute of Electrical and Electronic Engineers, p. 3784-3792 8622118Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile2 Citations (Scopus)63 Downloads (Pure) -
Regular Decomposition of Large Graphs: Foundation of a Sampling Approach to Stochastic Block Model Fitting
Reittu, H., Norros, I., Räty, T., Bolla, M. & Bazsó, F., 7 Mar 2019, In: Data Science and Engineering. 4, 1, p. 44-60 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access7 Citations (Scopus) -
Towards analyzing large graphs with quantum annealing
Reittu, H., Räty, T., Leskelä, L., Rummukainen, H. & Räty, T., 2019, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). IEEE Institute of Electrical and Electronic Engineers, p. 2457-2464 8 p. 9006174Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile5 Downloads (Pure) -
Hierarchical Multiplicative Model for Characterizing Residential Electricity Consumption
Kuusela, P., Norros, I., Reittu, H. & Piira, K., Mar 2018, In: Journal of Energy Engineering. 144, 3, 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
File2 Citations (Scopus)57 Downloads (Pure)