Maine Comprehensive Energy Plan

Prepare a comprehensive energy resources plan to be revised and updated at least annually and more often as the Director of the Office of Energy Resources or the State Legislature deem necessary

The Economics of Solar Water Heaters : A Guide for Evaluating the Cost-Effectiveness of Active Solar Water Heating Systems in Maine

The Economics of Solar Water Heaters : A Guide for Evaluating the Cost-Effectiveness of Active Solar Water Heating Systems in Maine State of Maine, Executive Department, Office of Energy Resources, Augusta, Maine (July, 1979). Contents: Section I: Introduction / Section II: Economic Method: The Life Cycle Cost Analysis / Section III: Factors Affecting the Decision to Buy / Section IV: Explanation of the Tables / Table I - Table IIIAhttps://digitalcommons.usm.maine.edu/me_collection/1155/thumbnail.jp

Sun, Wind, Water, Wood : Using Maine\u27s Renewable Resources Through Appropriate Technology

Sun, Wind, Water, Wood : Using Maine\u27s Renewable Resources Through Appropriate Technology. State of Maine Office of Energy Resources. (1986?) Contents: Solar / Biomass / Water & Wind Powerhttps://digitalcommons.usm.maine.edu/me_collection/1064/thumbnail.jp

Energy resources and potential GNP

Natural resources ; Gross national product

Risk-Aware Management of Distributed Energy Resources

High wind energy penetration critically challenges the economic dispatch of current and future power systems. Supply and demand must be balanced at every bus of the grid, while respecting transmission line ratings and accounting for the stochastic nature of renewable energy sources. Aligned to that goal, a network-constrained economic dispatch is developed in this paper. To account for the uncertainty of renewable energy forecasts, wind farm schedules are determined so that they can be delivered over the transmission network with a prescribed probability. Given that the distribution of wind power forecasts is rarely known, and/or uncertainties may yield non-convex feasible sets for the power schedules, a scenario approximation technique using Monte Carlo sampling is pursued. Upon utilizing the structure of the DC optimal power flow (OPF), a distribution-free convex problem formulation is derived whose complexity scales well with the wind forecast sample size. The efficacy of this novel approach is evaluated over the IEEE 30-bus power grid benchmark after including real operation data from seven wind farms.Comment: To appear in Proc. of 18th Intl. Conf. on DSP, Santorini Island, Greece, July 1-3, 201

Energy Resources

With: Salter, C. L. The urban enigma

Maine Comprehensive Energy Plan, 1978 Edition

https://digitalmaine.com/energy_resources_publications/1010/thumbnail.jp