TY  - RPRT
CY  - IIASA, Laxenburg, Austria
ID  - iiasa4852
UR  - https://pure.iiasa.ac.at/id/eprint/4852/
A1  - Messner, S.
A1  - Golodnikov, A.
A1  - Gritsevskii, A.
Y1  - 1996///
N2  - This paper introduces an approach to modeling the uncertainties concerning future characteristics of energy technologies within the framework of long-term dynamic linear programming models. The approach chosen explicitly incorporates the uncertainties in the model, endogenizing interaction between decision structure and uncertainties involved. The use of this approach for future investment costs of electricity generation technologies in the framework of very long-term energy scenarios shows improvement in model behavior and more robust solutions with respect to technology choices made.
PB  - RR-97-002. Reprinted from Energy, 21(9):775-784 [1996].
VL  - 10.1016/0360-5442(96)00025-4
M1  - research_reprint
TI  - A Stochastic Version of the Dynamic Linear Programming Model MESSAGE III
SP  - 775
AV  - public
EP  - 784
ER  -