What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Electrical engineering
Risto Lahdelma mainly focuses on Mathematical optimization, Decision support system, Group decision-making, Operations research and Linear programming.
His work deals with themes such as Production, Fuzzy number, Fuzzy logic, Artificial intelligence and Final product, which intersect with Mathematical optimization.
Risto Lahdelma interconnects Probability distribution, Mathematical economics and Multicriteria decision in the investigation of issues within Decision support system.
His research on Group decision-making often connects related topics like Strengths and weaknesses.
In general Operations research study, his work on Stochastic multicriteria acceptability analysis often relates to the realm of Context, thereby connecting several areas of interest.
His work in Linear programming tackles topics such as Energy which are related to areas like Electricity generation, Code, Linear model and Reuse.
His most cited work include:
- SMAA - Stochastic multiobjective acceptability analysis (403 citations)
- SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making (382 citations)
- Using Multicriteria Methods in Environmental Planning and Management (323 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematical optimization, Operations research, Decision support system, Efficient energy use and Renewable energy.
The concepts of his Mathematical optimization study are interwoven with issues in Production, Production planning and Power system simulation.
His work on Stochastic multicriteria acceptability analysis and Multicriteria decision as part of general Operations research research is often related to Context, thus linking different fields of science.
Decision support system and Group decision-making are two areas of study in which Risto Lahdelma engages in interdisciplinary research.
His Efficient energy use research integrates issues from Heating system, Process engineering and Energy storage.
His study explores the link between Renewable energy and topics such as Environmental economics that cross with problems in Operations management and Carbon neutrality.
He most often published in these fields:
- Mathematical optimization (31.95%)
- Operations research (18.93%)
- Decision support system (19.53%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematical optimization (31.95%)
- Efficient energy use (13.02%)
- Renewable energy (11.24%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mathematical optimization, Efficient energy use, Renewable energy, Environmental economics and Heating system.
Risto Lahdelma works in the field of Mathematical optimization, focusing on Stochastic multicriteria acceptability analysis in particular.
His Renewable energy research incorporates elements of Heat pump, Fossil fuel and Production.
His research integrates issues of Carbon neutrality, Natural resource economics, Preference and Incentive in his study of Environmental economics.
His work deals with themes such as Waste management, Linear regression, Environmental resource management, Base load power plant and Operations research, which intersect with Heating system.
The concepts of his Operations research study are interwoven with issues in Control, Decision support system, Fuzzy logic and Identification.
Between 2014 and 2021, his most popular works were:
- Modelling and optimization of CHP based district heating system with renewable energy production and energy storage (219 citations)
- Evaluation of a multiple linear regression model and SARIMA model in forecasting heat demand for district heating system (96 citations)
- Optimization of combined heat and power production with heat storage based on sliding time window method (81 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Electrical engineering
Risto Lahdelma mainly investigates Efficient energy use, Heating system, Renewable energy, Environmental economics and Waste management.
His research in Heating system intersects with topics in Fossil fuel, Multiple-criteria decision analysis, Operations research and Econometrics.
His Renewable energy study integrates concerns from other disciplines, such as Exergy and Energy storage.
His Environmental economics research is multidisciplinary, incorporating perspectives in Economic potential, Preference and Environmental resource management.
His Network simplex algorithm study contributes to a more complete understanding of Mathematical optimization.
He works mostly in the field of Mathematical optimization, limiting it down to topics relating to Sample and, in certain cases, Production.
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