Matin Bagherpour

• Foroughi, Mehdi; Bagherpour, Matin; Eliassen, Frank & Owe, Olaf (2026). PSDO: Privacy-Preserving Distributed Optimization for Autonomous Prosumer Energy Management. IEEE Transactions on Dependable and Secure Computing. ISSN 1545-5971. 23(3), s. 6874–6889. doi: 10.1109/tdsc.2026.3669022. Fulltekst i vitenarkiv Vis sammendrag

  In the evolving energy landscape where prosumers play an increasingly important role, establishing a secure data exchange architecture is essential for building a resilient and efficient energy infrastructure. Current privacy-preserving systems suffer from inadequate adversarial models, dependence on centralized components, and inability to adapt to evolving threats. This paper introduces the Privacy-Sensitive Distributed Optimization (PSDO) framework, a decentralized management scheme designed to prioritize privacy safeguards in prosumer-driven systems. To achieve this goal, the PSDO framework combines decentralized optimization techniques with differential privacy. This integration serves a dual purpose: preserving prosumers’ control over their energy management and ensuring privacy of their sensitive information. By leveraging decentralized optimization, the PSDO framework enables prosumers to maximize the benefits derived from decentralized systems, promoting improved autonomy in energy management. Simultaneously, prosumers’ sensitive data is protected through the implementation of differential privacy measures. Through implementation on the IEEE 33-bus radial distribution system, the PSDO algorithm demonstrated its capability to converge to the optimal solution while rigorously upholding differential privacy. PSDO advances beyond the chosen baseline (DP-ADMM) by delivering superior privacy protection while incurring minimal utility loss. Moreover, the framework successfully accommodates diverse privacy preferences while maintaining system-wide efficiency, establishing its effectiveness for heterogeneous prosumers.

• Aboutalebi, Meysam; Bagherpour, Matin; Noll, Josef & Horn, Geir (2025). Optimized Demand-Side Management for a solar-integrated Norwegian Pilot House. I Leonowicz, Zbigniew (Red.), 2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9798331595159. s. 1–8. doi: 10.1109/eeeic/icpseurope64998.2025.11169015. Fulltekst i vitenarkiv Vis sammendrag

  This paper explores a smart demand-side management (DSM) strategy for a solar-integrated, all-electric pilot house in Norway. The objective is to achieve cost savings in conjunction with maximizing self-supply from solar photovoltaic (PV) installations. The research develops an inclusive DSM model incorporating thermal systems, shiftable and non-shiftable appliances, and EV charger in the presence of a solar PV installation. The thermal dynamics of space heating and domestic hot water systems are effectively integrated. The Norwegian energy billing formula is employed to calculate optimized scheduling of activation intervals for both thermal and non-thermal demands in alignment with occupant preferences. By implementing real-world data on electricity prices, weather conditions, solar production, and energy demand, the model utilizes the unique advantages of Norwegian fully electric household to achieve economic benefits and energy flexibility. The modified quantitative indices measure cost savings, self-supply, and comfort across user engagement scenarios-uninterested, engaged, and proactive. Results indicate that proactive participation can nearly halve electricity costs after deducting revenue from selling excess solar energy. Additionally, there is a substantial increase in both selfconsumption and self-sufficiency indices, though the comfort indices experience a perceptible decrease in relation to indoor and water temperatures. The study utilized thermal capacity and non-thermal flexibility to improve economic efficiency, considering solar self-supply and user involvement.

• Aboutalebi, Meysam; Bagherpour, Matin; Noll, Josef & Horn, Geir (2025). Exploring Cost–Comfort Trade-Off in Implicit Demand Response for Fully Electric Solar-Powered Nordic Households. Energies. 18(21). doi: 10.3390/en18215568. Fulltekst i vitenarkiv Vis sammendrag

  This paper proposes a household energy management system for all-electric households, focusing on the interplay between cost savings and occupant comfort through an implicit demand response programme. A sequential multi-objective optimisation model is developed based on the lexicographic approach, allowing for the effective prioritisation of objectives. The model optimally schedules a diverse range of electricity demands using real-world data from a Norwegian pilot household to evaluate its unique flexibility potential, while remaining adaptable for other regions. This includes integrating thermal and non-thermal demands with electric mobility via vehicle-to-home enabled electric vehicle charger. This approach achieves significant cost savings on energy bills and enhances user comfort across aggregated comfort indicators. Multiple scenarios are designed to evaluate the performance of the proposed demand response under diverse pricing mechanisms. Results indicate that transitioning from variable pricing to fixed pricing can lead to lower average electricity costs and higher average user comfort. The analysis reveals that prioritising occupant comfort can substantially increase electricity demand, resulting in a nearly fourfold rise in average annual expenses, while also leading to a decrease in self-consumption and self-sufficiency. Additionally, the study illustrates how grid tariff adjustments can benefit households and support the development of local renewable energy.

• Foroughi, Mehdi; Bagherpour, Matin; Eliassen, Frank & Poudineh, Rahmatallah (2025). Autonomy as empowerment: A taxonomic framework for analyzing energy autonomy in local flexibility markets. Applied Energy. ISSN 0306-2619. 389. doi: 10.1016/j.apenergy.2025.125777. Fulltekst i vitenarkiv
• Jahani, Samaneh & Bagherpour, Matin (2011). A Clustering Algorithm for Mobile Ad hoc Networks based on Spatial Auto-Correlation. I Abadi, Mahdi (Red.), 2011 International Symposium on Computer Networks and Distributed Systems (CNDS 2011). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9781424491544. s. 136–141. doi: 10.1109/cnds.2011.5764560. Fulltekst i vitenarkiv Vis sammendrag

  Dynamicity of topology and lack of infrastructure in mobile ad hoc networks (MANETs) induce high control overhead for routing protocols and increase end-to-end delay as a result of complexity in mobility management. In this paper, the so-called WCA (Weighted Clustering Algorithm) is developed and a novel mobility measurement metric is introduced based on prediction of spatial auto-correlation between traversed paths of mobile users for clusterhead selection. Collaborative mobility behavior of nodes is represented by spatial auto-correlation index in order to find more stable clusters when the nodes are highly mobile and follow a dependent mobility model. We compare results of the proposed model with WCA and EWCA (Entropy-based WCA) in terms of reaffiliation frequency (rate of changes in cluster membership) to measure stability of clustered structure for different mobility scenarios. Simulation results show that our proposed algorithm improves performance of clustered structure for MANETs.

• Bagherpour, Matin & Kure, Øivind (2011). Optimization of Service Provisioning with Multicast Cost Sharing. I Mengdan, Guan (Red.), Proceedings of 2011 3rd International Conference on Mechanical and Electrical Technology (ICMET 2011). The American Society of Mechanical Engineers (ASME). ISSN 9780791859810. s. 625–629. doi: 10.1115/1.859810.paper102. Fulltekst i vitenarkiv
• Shahraki, Narges; Pourghannd, Behrooz & Bagherpour, Matin (2011). A single period model for a remanufacturing system with decomposition process. I Hammervoll, Trond (Red.), The 23rd Annual NOFOMA Conference 9–10 June 2011, Harstad, Norway: Logistics and Supply Chain Management in a High North perspective: Conference proceedings. Nordic Logistics Research Network. ISSN 9788245302288. s. 1177–1188. doi: 10.1007/978-3-7908-2362-2_16. Fulltekst i vitenarkiv Vis sammendrag

  In this paper, we investigate a single-item remanufacturing inventory system with stochastic decomposition process and derive its closed-form cost function. The closed form cost function has some advantages over numerical methods which are available in the literature; especially it is valuable for optimization modeling of the inventory policy problem to find cost minimizing system parameters. In this system, when the part storage is full, the newly arrived recovered parts will be stored in an extra storage and sold at the end of the planning horizon at a salvage value price. For this system, based on the continuous control policy, a (β,γ) inventory policy is developed.

• Bagherpour, Matin; Sharifyazdi, Mehdi & Kure, Øivind (2011). A Revenue Maximization Model for Call Admission Control Problem of Media on Demand Service Providers. I Gopalan, Kartik (Red.), 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN 2011). IEEE (Institute of Electrical and Electronics Engineers). ISSN 9781457706370. doi: 10.1109/icccn.2011.6005810. Fulltekst i vitenarkiv
• Bagherpour, Matin; Alipour, Mehrdad & Kure, Øivind (2011). Maximizing Data Transmission Reliability with Multipath Multicast Rate Allocation, Proceedings of the First European Teletraffic Seminar. Jasart Studio. ISSN 9788392537557. s. 120–126. Fulltekst i vitenarkiv
• Bagherpour, Matin; Alipour, Mehrdad & Kure, Øivind (2011). Enhancing Data Transmission Reliability with Multipath Multicast Rate Allocation. Advances in Electronics and Telecommunications. ISSN 2081-8580. 2(3), s. 61–70. Fulltekst i vitenarkiv Vis sammendrag

  In this paper, a multipath routing scheme is proposed for data transmission in a packet-switched network to improve the reliability of data delivery to multicast destinations, and to reduce network congestion. A multi-objective optimization model is presented that utilizes FEC (Forward Error Correction) across multiple multicast trees for transmitting packets toward the destinations. This model assigns the transmission rates over multicast trees so that the probability of irrecoverable loss for each destination and also the link congestion are minimized. We propose a genetic algorithm based on SPEA (Strength Pareto Evolutionary Algorithm) in order to approximate Pareto optimal solutions of this rate allocation problem with a nondominated solution set. Numerical results show that splitting data packets between multiple trees increases reliability and decreases network congestion when compared with the results obtained for transmitting data packets over a single tree.

• Alaeddini, Mahdi & Bagherpour, Matin (2010). Simulation Study of the Economics of Video on Demand in IPTV. International Conference on Internet (ICONI) : Proceedings. ISSN 2093-0542. Fulltekst i vitenarkiv Vis sammendrag

  This paper studies the impact of different charging methods on profitability of Video on Demand over IPTV for internet service providers using simulation analysis. In previous works, impact of underlying network topology, technology and number of subscribers were studied. In this paper, the influence of some new factors such as advertisement and customer charging method is investigated on economics of Video on Demand services.

• Bagherpour, Matin & Kure, Øivind (2010). A Mixed Integer Programming Model for Multicast Routing with Multipath Delay Jitter Reduction. I Rak, Jacek; tipper, david & Walkowiak, Krzysztof (Red.), Proceedings of the Second International Workshop on Reliable Networks Design and Modeling (RNDM 2010). IEEE Sarnoff Symposium. ISSN 9781424472833. s. 27–33. Fulltekst i vitenarkiv

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• Sharifyazdi, Mehdi; Bagherpour, Matin; Anfinsen, Erlend & Klauser-Baumgärtner, Moritz Georg (2022). An Evolutionary Algorithm for Bidding Strategies of Linked Block Orders in Day-Ahead Power Markets. Fulltekst i vitenarkiv
• Jahani, Samaneh & Bagherpour, Matin (2011). A Clustering Algorithm for Mobile Ad hoc Networks based on Spatial Auto-Correlation. Fulltekst i vitenarkiv
• Bagherpour, Matin; Alipour, Mehrdad & Kure, Øivind (2011). Maximizing Data Transmission Reliability with Multipath Multicast Rate Allocation. Fulltekst i vitenarkiv
• Bagherpour, Matin & Kure, Øivind (2010). A Mixed Integer Programming Model for Multicast Routing with Multipath Delay Jitter Reduction. Fulltekst i vitenarkiv
• Bagherpour, Matin & Alaeddini, Mahdi (2010). Simulation Study of the Economics of Video on Demand in IPTV. Fulltekst i vitenarkiv

Se alle arbeider i NVA